Air conditioning
A process usually aimed at maintaining predetermined air temperature and relative humidity for occupant comfort.

Annual maintenance
Activities required which keep the building functioning as intended. This would include annual maintenance of the ice surface or ice surfacing equipment. This would not include time for flooding with ice resurfacing machines after typical use.

Arena
A level area which may be surrounded by seats for spectators, in which sports, entertainment, and other public events are held. The primary purpose of the rink is for hockey or skating. A building may contain one or more hockey or skating rinks.

Boiler
A type of space heating equipment consisting of a vessel or tank where heat produced from the combustion of such fuels as natural gas, fuel oil, or coal is used to generate hot water or steam.

British Thermal Units
A unit of energy consumed by or delivered to a building. A British Thermal Unit is defined as the amount of energy required to increase the temperature of 1 pound of water by 1 degree Fahrenheit, at normal atmospheric pressure.

Calendar year
A calendar year is a period of 12 consecutive months from January 1 to December 31.

Cogeneration
A process in which electricity and thermal energy are generated simultaneously (e.g. steam) from the same fuel source. Types of cogeneration units or systems include condensing steam turbines and CHP (Combined Heat and Power) systems.

Computer
The definition of a computer includes personal computers and laptops but excludes cash registers and battery-operated hand-held devices, as well as servers in a dedicated server room.

Consumption
The amount of energy used in a building or by an organization during a given period of time. This does not include fuel or energy used for transportation.

Curling rink
A curling rink is classified as a facility that only contains ice sheets expressly for the purpose of the game of curling.

Diesel
All grades of distillate fuel used for diesel engines.

Domestic water
Water used in the building for purposes such as drinking, food preparation, sanitation and personal hygiene, or to fill a pool.

Energy Management and Control System (EMCS) or Building Automation System (BAS)
A system which monitors changes in ambient temperature and operating conditions, and automatically modifies the heating or cooling levels in different interior zones. This is accomplished by means of remote sensing, control instruments and interpretive control software.

Energy performance contract
A contract which guarantees that renovations or modifications to a building will deliver a certain amount of water or energy savings over a specified period of time. The costs of renewal projects are offset by the savings that are achieved as a result of these modifications.

Energy source
A type of energy or fuel consumed in a building. Examples of energy sources are propane, electricity, natural gas, fuel oil, diesel, district hot water, district steam heating and district chilled water.

ENERGY STAR Portfolio Manager
An interactive energy management tool used by the U.S. Environmental Protection Agency and Natural Resources Canada for tracking and assessing the energy and water consumption of buildings. Portfolio Manager has the ability to generate weather normalized and non-weather normalized energy use intensity values, greenhouse gas emission metrics, as well as energy performance scores for eligible building types.

Energy unit of measure
The unit in which energy is measured (e.g., kilowatt-hour (kWh), gigajoule (GJ), megawatt hour (MWh), cubic metre (m3), litre (L), cubic feet (ft3), etc).

Furnace
A type of space-heating equipment used to heat air directly without steam or hot water.

Gigajoule
A unit of measure corresponding to one billion joules. A joule is the international unit for measuring energy and is the main unit used when comparing different sources of energy used in buildings. One Gigajoule is equivalent to approximately 278 kilowatt hours.

Heating fuel oil
A liquid petroleum product used in buildings primarily as a heating fuel. It is also referred to as light fuel oil.

Hockey or skating rink
An area in an arena or facility, with an ice sheet which is used for skating or hockey.

Ice making equipment
Equipment used to manufacture an ice surface in an arena.

Ice is present
The months during the year when an arena or facility maintains an ice surface for use by patrons.

Ice is not present
The months during the year when an arena or facility activity does not have ice on the rink. The rink surface may still be available for uses that do not require an ice surface such as for trade shows or ball hockey.

Ice resurfacing machine
A machine that repairs and resurfaces a sheet of ice so it is ready for use by patrons.

Ice temperature
The temperature at which the ice surface is maintained.

In operation
The period of time in which the ice surface is being maintained and ready for use by patrons.

In use
The period of time in which patrons are on the ice surface.

Kilowatt hour
The commercial unit of electricity energy equivalent to 1000 watt hours. A kilowatt hour can best be visualized as the amount of electricity consumed by ten 100 watt bulbs burning for one hour.

On site electricity generation
The production of electricity using a generator, solar panels, fuel cells, wind turbines, etc.

Parking
Buildings and lots used for parking vehicles. This includes open parking lots, partially enclosed parking structures, and completely enclosed (or underground) parking structures. Parking structures may be free standing or physically connected to the property.

  • Open Parking Lot is an area that is used for parking vehicles. Open Parking Lot refers specifically to an open area, which may include small shading covers but does not include any full structures with roofs. Parking lot size should include the area of parking spots, lanes, and driveways.
  • Partially Enclosed Parking is a parking structure that is not fully enclosed. This includes parking garages where each level is covered at the top, but the sides are partially or fully open – that is, structures that have partial walls or no walls at all.
  • Completely Enclosed Parking is a parking structure that is completely enclosed on all four sides and has a roof. This includes an underground parking structure or a fully enclosed structure on the first few stories of a building.

Primary Heating Source
The primary heating source is the source used to heat the largest proportion of floor area in this facility.

Propane
A normally gaseous fuel often used for ice resurfacing machines, cooking or space heating.

Purchased electricity
Purchased electric energy supplied to a building by a utility provider via power lines. Electric power generated within a building for exclusive use in that building is specifically excluded (see "On site electricity generation).

Recommissioning project
A systematic process of optimizing the performance of building systems as well as ensuring their continued performance.

Renovations or retrofits
The process of upgrading a building's energy efficiency. Retrofitting may involve upgrading light fixtures, HVAC systems, or replacing windows and doors, or adding insulation.

Server
A computer system that provides essential services over a computer network. This excludes personal computers and laptops.

Space cooling
The conditioning of air for occupant comfort by mechanical means.

Spectator seating capacity
This includes benches and seats available on a permanent basis for spectator seating but excludes player benches.

Total gross floor area
Total floor area which includes all enclosed areas of the building, such as indoor parking (including partially exposed parking), mechanical rooms, common areas, dressing rooms, concessions stands, offices, seating areas, and ice surfaces. This includes floor space in any arenas, plus all space in other areas of the facility such as balconies or mezzanines.

Total full-time staff
Include all staff paid directly by the facility in all areas of the arena or facility. Full-time employees work 30 or more hours per week.

Total part-time staff
Please include all staff paid directly by the facility in all areas of the arena or facility. Part-time employees work less than 30 hours per week.

Typical week
A typical week would represent the normal level of activity when the arena or facility is in operation.

Upgrades
Improvements to the building or facility that are intended to improve energy efficiency.

Utility bill
A bill or statement of charges from a utility supplier for the consumption and delivery of energy sources or water.

Year of construction
The year in which the major portion of the building or facility was built. If two or more portions of the buildings or facility of equal size were constructed at different times, then report the oldest.

Year of rink construction
The year in which the rink was built.

Activities in the natural sciences and engineering

Investment, Science and Technology Division

Text begins

Introduction

This introduction provides an overview of the process of collecting scientific expenditures data. Definitions and explanatory notes relating to natural sciences and engineering, scientific and technological activities, and other terms used are given in subsequent sections.

Since 1973, Statistics Canada has been collecting detailed expenditure and full-time equivalent data on scientific activities of provincial research organizations. These data, coupled with data from other surveys, have been used by policy analysts in federal and provincial governments, research managers and the media to elaborate on the provincial scientific activities.

Intramural research and development expenditures are a direct input into the Canadian gross domestic expenditures on research and development (GERD) indicators.

Expenditures on research and development (R&D) and related scientific activities (RSA) are subdivided into “current expenditures” and “capital expenditures”. Current expenditures indicate the “where” and “by whom” the activities are performed. (e.g., internally by the organization or by external performers).

Personnel are allocated to research and development or related scientific activities, and distributed into the following categories: scientific and professional personnel, supporting personnel, and other.

1. Total scientific and technological expenditures by activity in the natural sciences and engineering.

Definitions and explanations of terms

Natural sciences and engineering includes disciplines concerned with understanding, exploring, developing or utilizing the natural world. Included are such disciplines as the engineering, mathematical, life and physical sciences.

The questionnaire covers two consecutive fiscal years and the headings for both years are identical. One set of definitions/explanations therefore suffices.

Actual and preliminary expenditures on scientific and technological activities are to be classified according to the type of scientific activity and who performed or will perform the scientific activity (intramural or extramural).

Scientific and technological (S&T) activities are required for the generation, dissemination or initial application of the new S&T knowledge. The central activity is scientific research and experimental development (R&D). In addition there are a number of activities closely related to R&D, and are termed related scientific activities (RSA). The RSA identified as being appropriate for the provincial research organization in the natural sciences and engineering are: scientific data collection, information services, and special services and studies.

  1. Research and development (R&D)

Research and experimental development – creative work undertaken on a systematic basis in order to increase the stock of knowledge, and the use of this stock of knowledge to devise new applications.

In this survey, the term research and development (R&D) is synonymous with research and experimental development.

The basic criterion for distinguishing R&D from related scientific activities is the presence in R&D of an appreciable element of novelty and the resolution of scientific and/or technological uncertainty. New knowledge, products or processes are sought. The work is normally performed by, or under the supervision of, persons with postgraduate degrees in the natural sciences and engineering.

An R&D project generally has three characteristics:

  • a substantial element of uncertainty, novelty and innovation;
  • a well-defined project design; and
  • a report on the procedures and results of the project.

Examples:

  • Special investigation of a particular mortality in order to establish the side effects of certain medical treatments.
  • The investigation of new methods of measuring temperature is research as is the study and development of new systems and techniques for interpreting the data.
  • The development of new methods of identifying tree species and determining if they are diseased.
  • The creation of a new transportation system as a prototype and the technical evaluation of its operations.

R&D is generally carried out by specialized R&D units. However, an R&D project may also involve the use of non R&D facilities (e.g., testing grounds), the purchase or construction of specialized equipment and materials, and the assistance of other units. Costs of such items, attributable to the project, are to be considered R&D costs.

R&D units may also be engaged in non R&D activities such as technical advisory services, testing, or construction of special equipment for other units. So far as is practical, the effort devoted to such operations should be excluded from R&D.

Intramural (internal) R&D

Intramural (internal) R&D is defined as all expenditures for R&D performed within your organization by your personnel during a specific period, whatever the source of funds.

Current expenditures - includes costs (expenditures) incurred for scientific activities carried out by in-house personnel including salaries and contributions to employee benefit plans (e.g. pension); materials and supplies; contract payments to contractors working on site within your organization’s premises; as well as costs for personnel engaged in the administration of extramural (external) R&D contracts, grants and contributions.

Capital expenditures – expenditures on construction, acquisition or preparation of land, buildings, machinery and equipment are capital expenditures. All other expenditures are current expenditures.

Extramural (external) R&D

Extramural (external) payments are made by the provincial research organizations for R&D activities performed by extramural sectors and these sectors are defined as follows:

Business enterprise – business and government enterprises including public utilities and government-owned firms. Incorporated consultants providing scientific and engineering services are also included. Industrial research institutes located at Canadian universities are considered to be in the higher education sector.

Higher education – composed of all universities, colleges of technology and other institutes of post-secondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with, the higher education establishments.

Hospitals and health organizations – Canadian hospitals and health organizations which are not part of university medical schools.

Federal, provincial and municipal governments – departments and agencies of these governments. Government enterprises, such as provincial utilities are included in the business enterprise sector.

Other Canadian performers – include Canadian non-profit institutions that are not serving the health field or business enterprise sector; individuals or organizations in Canada not belonging to any of the above sectors, and all foreign government agencies, foreign companies (including foreign subsidiaries of Canadian firms), international organizations, non-resident foreign nationals and Canadians studying or teaching abroad.

Extramural expenditures include:

Contract payments to an outside institution or individual performing R&D.

R&D grants and contributions – awards to organizations or individuals for the conduct of R&D and intended to benefit the recipients.

  1. Related scientific activities (RSA)

Related scientific activities involve the generation, dissemination and application of scientific and technological knowledge. The kinds of related scientific activities for the natural sciences and engineering are described below.

Related scientific activities include:

Scientific data collection – the gathering, processing, collating and analyzing of data on natural phenomena. These data are normally the results of surveys, routine laboratory analyses or compilations of operating records.

Data collected as part of an existing or proposed research project are charged to R&D. Similarly, the costs of analyzing existing data as part of a research project are R&D costs, even when the data were originally collected for some other purpose. The development of new techniques for data collection is also to be considered an R&D activity.

Examples of scientific data collection are: routine geological, hydrographic, oceanographic and topographic surveys; routine astronomical observations; maintenance of meteorological records; and wildlife and fisheries surveys.

Information services – all work directed to recording, classifying, translating and disseminating scientific and technological information as well as museum services. Included are the operations of scientific and technical libraries, S&T consulting and advisory services, the Patent Office, the publication of scientific journals and monographs, and the organizing of scientific conferences. Grants for the publication of scholarly works are also included.

General purpose information services or information services directed primarily towards the general public are excluded, as are general departmental and public libraries. When individual budgets exist, the costs of libraries which belong to institutions otherwise entirely classified to another activity, such as R&D, should be assigned to information services. The costs of printing and distributing reports from another activity, such as R&D, are normally attributable to that activity.

Special services and studies – work directed towards the establishment of national and provincial standards for materials, devices, products and processes; the calibration of secondary standards; non-routine quality testing; feasibility studies and demonstration projects.

Sub categories under Special services and studies include:

Testing and standardization – work directed towards the establishment of national and international standards for materials, devices, products and processes, the calibration of secondary standards and non-routine quality testing. The development of new measures for standards, or of new methods of measuring or testing, is R&D and should be reported as such. Exclude routine testing such as monitoring radioactivity levels or soil tests before construction.

Feasibility studies – technical investigations of proposed engineering projects to provide additional information required to reach decisions on implementation. Besides feasibility studies per se, the related activity of demonstration projects are to be included. Demonstration projects involve the operation of scaled-up versions of a facility or process, or data on factors such as costs, operational characteristics, market demand and public acceptance. Projects called “demonstration projects” but which conform to the definition of R&D should be considered R&D. Once a facility or process is operated primarily to provide a service or to gain revenue, rather than as a demonstration, it should no longer be included with feasibility studies. In all demonstration projects, only the net costs should be considered.

Administration of extramural RSA programs – the costs, including salaries, of personnel engaged in the administration of contracts and grants and contributions for related scientific activities that are to be performed outside the provincial research organizations.

NOTE: If any of these activities are performed in direct support of an R&D project or program, include the expenditures in the R&D section above.

Intramural (internal) RSA expenditures

Current expenditures – includes costs (expenditures) incurred for related scientific activities carried out by in-house personnel including salaries and contributions to employee benefit plans (e.g. pension); materials and supplies; contract payments to contractors working on site within your organization’s premises; as well as costs for personnel engaged in the administration of extramural (external) R&D contracts, grants and contributions.

Capital expenditures – expenditures on construction, acquisition or preparation of land, buildings, machinery and equipment are capital expenditures. All other expenditures are current expenditures.

Extramural RSA expenditures include:

Contract payments to an outside institution or individual performing RSA.

RSA grants and contributions – awards to organizations or individuals for the conduct of RSA and intended to benefit the recipients.

2. Source of funds for intramural (internal) research and development (R&D) in the natural sciences and engineering

This question identifies the sources of funds for expenditures on research and development performed by your organization. It will help to ensure that work funded from outside the provincial research organization is not overlooked.

R&D budget of the provincial research organization (operating capital, and grants and contributions) – that portion of the total provincial research organizational budget which was spent on natural science and engineering R&D activities.

Federal government – all R&D funds from the departments and agencies of the federal government used for natural science and engineering activities.

Provincial/Territorial government – all R&D funds from the provincial/territorial government used for natural science and engineering activities.

Canadian business enterprises – all R&D funds from business enterprises used for natural science and engineering activities.

Other Canadian sources – all R&D funds for natural science and engineering activities from sources not specified above for example, higher education, hospitals and private non-profit organizations.

Foreign sources – all R&D funds from sources located outside the jurisdictional boundary of Canada.

3. Personnel in full-time equivalent (FTE) engaged in scientific and technological activities in the natural sciences and engineering

Full-time equivalent (FTE) – a measure of the time actually devoted to the conduct of scientific activities. Example calculation: an employee who is engaged in scientific activities for half a year has a full-time equivalence of 0.5. If, out of five scientists engaged in R&D work, one works solely on R&D projects and the remaining four devote only one quarter of their working time to R&D , then: FTE = 1 + ¼ + ¼ + ¼ + ¼ = 2.0.

Scientific and professional personnel - FTE in jobs that require at least one academic degree or nationally recognized professional qualification (e.g. professional engineers) as well as those with equivalent experience.

Supporting personnel (technicians and technologists) – personnel in jobs that require specialized vocational or technical training beyond the secondary education level (e.g., community colleges and technical institutes) as well as those with experience equivalent to this training.

Other – clerical, secretarial, administrative, operational and other support personnel.

Enquiries should be directed to:

Public Sector Investments
Investment, Science and Technology Division
Statistics Canada
150 Tunney’s Pasture Driveway, Room 1306 E
Ottawa, Ontario K1A 0T6
Fax: 613-951-9920
E-mail: istd-dist.information@statcan.gc.ca

 

Description for Chart 1: Comparison of gross budgetary authorities and expenditures as of September 30, 2014, and September 30, 2015, in thousands of dollars

This bar graph shows Statistics Canada's budgetary authorities and expenditures, in thousands of dollars, as of September 30, 2014 and 2015:

  • As at September 30, 2014
    • Net budgetary authorities: $402,448
    • Vote netting authority: $120,000
    • Total authority: $522,448
    • Net expenditures for the period ending September 30: $245,461
    • Year-to-date revenues spent from vote netting authority for the period ending September 30: $18,661
    • Total expenditures: $264,122
  • As at September 30, 2015
    • Net budgetary authorities: $531,451
    • Vote netting authority: $120,000
    • Total authority: $651,451
    • Net expenditures for the period ending September 30: $256,407
    • Year-to-date revenues spent from vote netting authority for the period ending September 30: $19,697
    • Total expenditures: $276,104

Statement outlining results, risks and significant changes in operations, personnel and program

A) Introduction

Statistics Canada's mandate

Statistics Canada is a member of the Innovation, Science and Economic Development portfolio.

Statistics Canada's role is to ensure that Canadians have access to a trusted source of statistics on Canada that meets their highest priority needs.

The Agency's mandate derives primarily from the Statistics Act. The Act requires that the Agency collects, compiles, analyzes and publishes statistical information on the economic, social, and general conditions of the country and its people. It also requires that Statistics Canada conduct the census of population and the census of agriculture every fifth year, and protects the confidentiality of the information with which it is entrusted.

Statistics Canada also has a mandate to co-ordinate and lead the national statistical system. The Agency is considered a leader, among statistical agencies around the world, in co‑ordinating statistical activities to reduce duplication and reporting burden.

More information on Statistics Canada's mandate, roles, responsibilities and programs can be found in the 2015–2016 Main Estimates and in the Statistics Canada 2015–2016 Report on Plans and Priorities.

The quarterly financial report

Statistics Canada has the authority to collect and spend revenue from other government departments and agencies, as well as from external clients, for statistical services and products.

Basis of presentation

This quarterly report has been prepared by management using an expenditure basis of accounting. The accompanying Statement of Authorities includes the Agency's spending authorities granted by Parliament and those used by the Agency consistent with the Main Estimates for the 2015–2016 fiscal year. This quarterly report has been prepared using a special purpose financial reporting framework designed to meet financial information needs with respect to the use of spending authorities.

The authority of Parliament is required before moneys can be spent by the Government. Approvals are given in the form of annually approved limits through appropriation acts or through legislation in the form of statutory spending authority for specific purposes.

The Agency uses the full accrual method of accounting to prepare and present its annual departmental financial statements that are part of the departmental performance reporting process. However, the spending authorities voted by Parliament remain on an expenditure basis.

B) Highlights of fiscal quarter and fiscal year-to-date results

This section highlights the significant items that contributed to the net increase in resources available for the year, as well as actual expenditures for the quarter ended September 30.

Description for Chart 1

Comparison of gross budgetary authorities and expenditures as of September 30, 2014, and September 30, 2015, in thousands of dollars

Chart 1 outlines the gross budgetary authorities, which represent the resources available for use for the year as of September 30.

Significant changes to authorities

During the second quarter, Statistics Canada authorities increased by $6.4 million compared with the first quarter of 2015-2016. The increase is related to funding received for the carry-forward of funds from fiscal year 2014-2015 to 2015-2016.

Total authorities available for 2015–2016 have increased by $129 million, or 25%, from the previous year, from $522.5 million to $651.5 million (Chart 1). This net increase was mostly the result of the following:

  • increase for the 2016 Census of Population Program ($141.9 million), as well as for the 2016 Census of Agriculture ($7.2 million)
  • decrease for the 2011 Census of Population Program ($2.8 million), as the program is complete
  • decrease in the value of the carry-forward ($16.5 million).

In addition to the appropriations allocated to the Agency through the Main Estimates, Statistics Canada also has vote net authority within Vote 105, which entitles the Agency to spend revenues collected from other government departments, agencies, and external clients to provide statistical services. Vote netting authority is stable at $120 million in each of the fiscal years 2014–2015 and 2015–2016.

Significant changes to expenditures

Year-to-date net expenditures recorded to the end of the second quarter increased by $10.9 million, or 4.5% from the previous year, from $245.5 million to $256.4 million. (See Table A: Variation in Departmental Expenditures by Standard Object.)

Statistics Canada spent approximately 48% of its authorities by the end of the second quarter, compared with 61% in the same quarter of 2014–2015.

Table A: Variation in Departmental Expenditures by Standard Object (unaudited)
This table displays the variance of departmental expenditures by standard object between fiscal 2014-2015 and 2015-2016. The variance is calculated for year to date expenditures as at the end of the second quarter. The row headers provide information by standard object. The column headers provide information in thousands of dollars and percentage variance for the year to date variation.
Departmental Expenditures Variation by Standard Object Q2 year-to-date variation between fiscal year 2014-2015 and 2015-2016
$'000 %
(01) Personnel 17,604 7.7
(02) Transportation and communications 1,200 23.7
(03) Information 1,806 444.8
(04) Professional and special services (1,353) (16.4)
(05) Rentals 4,478 69.6
(06) Repair and maintenance (187) (28.2)
(07) Utilities, materials and supplies (129) (15.3)
(08) Acquisition of land, buildings and works 0 0
(09) Acquisition of machinery and equipment 2,017 431.0
(10) Transfer payments 0 0
(12) Other subsidies and payments (13,454) (99.0)
Total gross budgetary expenditures 11,982 4.5
Less revenues netted against expenditures
Revenues 1,036 5.6
Total net budgetary expenditures 10,946 4.5

01) Personnel: The increase was mainly the result of the arbitration award including the severance liquidation payment for interviewers and increased salary expenditures due to the cyclical nature of the Census.

02) Transportation and Communications: The increase was the result of timing differences between years for the postage purchase and travel for cost recovery projects.

03) Information: The increase was the result of the coding review of the standard object definitions and inclusions (e.g., data purchases).

04) Professional and special services: The decrease was the result of the coding review of the standard object definitions and inclusions (e.g., data purchases) and a reduction in spending on informatics services.

05) Rentals: The increase was the result of the cyclical nature of the Census (e.g., rental of building space) and additional software licenses fees related to new infrastructure and due to changes in contract payment schedules.

09) Acquisition of machinery and equipment: The increase was the result of timing differences between years for the acquisition of computer equipment.

12) Other subsidies and payments: The decrease is a result of the one-time transition payment for implementing salary payment in arrears made in the first quarter of 2014–2015 by the Government of Canada.

Revenues: The increase is primarily the result of timing differences in the receipt of funds for scheduled key deliverables.

C) Risks and uncertainties

In 2015–2016, Statistics Canada plans to continue to monitor financial pressures due to the continuation of the federal operating budget freeze, with the following actions and mitigation strategies:

  • additional analysis, monitoring and validation of financial and human resources information through a monthly financial review by budget holders;
  • review of monthly project dashboards in place across the Agency to monitor project issues, risks and alignment with approved budgets;
  • continued realignment and reprioritization of work.

In addition, Statistics Canada uses risk management and a risk-based decision-making process to prioritize and conduct its business.  In order to effectively do so the Agency identifies its key risks and develops corresponding mitigation strategies in its Corporate Risk Profile.

D) Significant changes to operations, personnel and programs

There have been no significant changes in relation to operations, personnel and programs over the last quarter. For the coming quarters, there will be notable changes in the operations due to increased activities related to the 2016 Census of Population Program.

Approval by senior officials

The original version was signed by
Wayne R. Smith, Chief Statistician
Stéphane Dufour, Chief Financial Officer
Date signed November 23, 2015

Departmental budgetary expenditures by Standard Object (unaudited) - Fiscal year 2015-2016
This table displays the departmental expenditures by standard object for the fiscal year 2015-2016. The row headers provide information by standard object for expenditures and revenues. The column headers provide information in thousands of dollars for planned expenditures for the year ending March 31; expended during the quarter ended September 30; and year to date used at quarter-end 2015-2016.
  Fiscal year 2015-2016
Planned expenditures for the year ending March 31, 2016 Expended during the quarter ended September 30, 2015 Year-to-date used at quarter-end
in thousands of dollars
Expenditures
(01) Personnel 480,260 123,874 246,019
(02) Transportation and communications 38,602 3,938 6,253
(03) Information 17,340 1,097 2,212
(04) Professional and special services 56,557 4,132 6,890
(05) Rentals 25,410 7,563 10,913
(06) Repair and maintenance 7,559 389 477
(07) Utilities, materials and supplies 11,102 390 715
(08) Acquisition of land, buildings and works 0 0 0
(09) Acquisition of machinery and equipment 14,437 1,098 2,485
(10) Transfer payments 100 0 0
(12) Other subsidies and payments 84 82 140
Total gross budgetary expenditures 651,451 142,563 276,104
Less revenues netted against expenditures
Revenues 120,000 13,742 19,697
Total revenues netted against expenditures 120,000 13,742 19,697
Total net budgetary expenditures 531,451 128,821 256,407
Departmental budgetary expenditures by Standard Object (unaudited) - Fiscal year 2014-2015
This table displays the departmental expenditures by standard object for the fiscal year 2014-2015. The row headers provide information by standard object for expenditures and revenues. The column headers provide information in thousands of dollars for planned expenditures for the year ending March 31; expended during the quarter ended September 30; and year to date used at quarter-end 2014-2015.
  Fiscal year 2014-2015
Planned expenditures for the year ending March 31, 2015 Expended during the quarter ended September 30, 2014 Year-to-date used at quarter-end
in thousands of dollars
Expenditures
(01) Personnel 401,121 116,514 228,415
(02) Transportation and communications 31,812 2,978 5,053
(03) Information 3,092 284 406
(04) Professional and special services 43,981 5,242 8,243
(05) Rentals 16,214 3,009 6,435
(06) Repair and maintenance 8,683 586 664
(07) Utilities, materials and supplies 16,340 474 844
(08) Acquisition of land, buildings and works 0 0 0
(09) Acquisition of machinery and equipment 1,017 280 468
(10) Transfer payments 0 0 0
(12) Other subsidies and payments 188 191 13,594
Total gross budgetary expenditures 522,448 129,558 264,122
Less revenues netted against expenditures
Revenues 120,000 5,710 18,661
Total revenues netted against expenditures 120,000 5,710 18,661
Total net budgetary expenditures 402,448 123,848 245,461
Statement of Authorities (unaudited) - Fiscal year 2015-2016
This table displays the departmental authorities for the fiscal year 2015-2016. The row headers provide information by type of authority, Vote 105 – Net operating expenditures, Statutory authority and Total Budgetary authorities. The column headers provide information in thousands of dollars for Total available for use for the year ending March 31; used during the quarter ended September 30; and year to date used at quarter-end for 2015-2016.
  Fiscal year 2015-2016
Total available for use for the year ending March 31, 2016* Used during the quarter ended September 30, 2015 Year to date used at quarter-end
in thousands of dollars
Vote 105 — Net operating expenditures 462,373 111,552 221,868
Statutory authority — Contribution to employee benefit plans 69,078 17,269 34,539
Total budgetary authorities 531,451 128,821 256,407
Statement of Authorities (unaudited) - Fiscal year 2014-2015
This table displays the departmental authorities for the fiscal year 2014-2015. The row headers provide information by type of authority, Vote 105 – Net operating expenditures, Statutory authority and Total Budgetary authorities. The column headers provide information in thousands of dollars for Total available for use for the year ending March 31; Used during the quarter ended September 30; and year to date used at quarter-end for 2014-2015.
  Fiscal year 2014-2015
Total available for use for the year ended March 31, 2015* Used during the quarter ended September 30, 2014 Year to date used at quarter-end
in thousands of dollars
Vote 105 — Net operating expenditures 345,637 109,645 217,055
Statutory authority — Contribution to employee benefit plans 56,811 14,203 28,406
Total budgetary authorities 402,448 123,848 245,461

Audit of Justice Statistics

September 14, 2015
Project Number: 80590-89

Executive Summary

Since 1981, the federal, provincial and territorial deputy ministers responsible for the justice system in Canada have been working together, along with the Chief Statistician of Canada, on the National Justice Statistics Initiative (NJSI). The mandate of the NJSI is to provide information to the justice community and the public on the nature and extent of crime and victimization, as well as the administration of criminal and civil justice in Canada.

Through the Canadian Centre for Justice Statistics (CCJS), a division of Statistics Canada, the efforts of the NJSI are directed toward the production of data to inform the legislative, policy, management and research agendas of federal–provincial–territorial partners, and to inform the public. The focus of the CCJS is the development, collection, integration and analysis of data that reflect trends in Canada and on the development of national- and jurisdictional-level indicators. There are three main statistical programs within the CCJS, the Policing Services Program, the Courts Program and the Correctional Services Program.

The objectives of the audit were to provide the Chief Statistician and the Departmental Audit Committee with assurance that

  • Statistics Canada has established an adequate governance framework to support the quality of Justice Statistics data
  • effective control mechanisms have been established and are consistently applied to ensure the release of quality data in accordance with the agency's Quality Guidelines.

The scope of the audit focused on CCJS' Policing Services Program's Uniform Crime Reporting (UCR) Survey, as well as the Courts Program's Integrated Criminal Court Survey (ICCS).

The audit was conducted by Internal Audit Division in accordance with the Government of Canada's Policy on Internal Audit.

Key findings

Roles, responsibilities, and accountabilities of the key personnel responsible for the quality of Justice Statistics are well understood within CCJS and by key external stakeholders. Several committees have been established to monitor the quality of CCJS data and formal terms of reference outlining their roles and responsibilities have been developed. However, a formal document, such as a CCJS accountability and governance framework, has not been developed to provide an overview of all of the key roles, responsibilities and accountabilities within the CCJS directorate, as well as the roles and responsibilities of governance committees and other stakeholders, including their interdependencies.

Outside of the work performed by the agency's Quality Secretariat, which exists to promote sound quality management practices for Statistics Canada program areas based on the agency's Quality Guidelines, there is also an internal Data Quality Secretariat (DQS) within CCJS, which was established in 2014. Although the CCJS' DQS has been working on completing a number of quality reviews on its own, their role, responsibilities and accountabilities have not been formally defined.

Although high-level risks have been identified by the division for the development of the agency's Corporate Risk Profile, the division's risk register has not been updated since March 2012. No formal risk management processes have been developed at either the CCJS divisional or the individual program level for the identification and assessment of the risks to the quality of CCJS' data and data products. Additionally, no processes have been established for the development of risk mitigation strategies or the ongoing monitoring of both the risks and the effectiveness of the risk mitigation strategies by divisional management.

Through the development of the National Data Requirements document, a field interpretation document, and the UCR Survey Incident-Based Survey Manual; the creation of a UCR National Training Officer; and the ongoing relationship and communications with data providers, the Policing Services and Courts programs are adequately supporting the training and guidance needs of their data providers.

To improve the reliability, completeness and accuracy of the data, CCJS requests that data providers validate their data sets annually before the production of Justice Statistics publications through either the agency's The Daily release process or CCJS' own process, Juristat. The audit team noted that data providers are consistently signing-off on the reasonability of the data, and when possible, its accuracy and completeness.

Since both the UCR Survey and ICCS rely solely on the reception of administrative data from data providers, there is a need for the effective cleansing and verification of the data received through the use of SAS-based edit and imputation programs. Data cleansing and verification processes help detect and correct (or remove) corrupt, duplicate or inaccurate records from a record set. For both the UCR Survey and ICCS, edit and imputation programs have been developed in conjunction with Statistics Canada's Methodology Branch to achieve the level of quality required for the purpose of the data. The audit team noted opportunities to further strengthen the expectation of follow-up activities relative to the edits, imputations, warnings and trends for the ICCS and the documentation of follow-up activities performed with data providers for both surveys.

Given that a representative from Statistics Canada's Operations and Integration Division is solely responsible for the data entry of responses received by paper from the UCR1 respondents, the audit team noted further opportunities to strengthen this data entry process through the inclusion of a peer or supervisory data verification review.

Adequate internal and external review processes have been established to identify potential data errors within draft data products in a timely manner; however, the audit noted opportunities to improve the documentation maintained as evidence of these reviews and how issues and errors were addressed.

The audit also noted that, based on the evidence obtained, CCJS is addressing and communicating errors identified post-review (either pre- or post-release), and that the Statistics Canada Directive on Corrections to Daily Releases and Statistical Products is followed when addressing or escalating errors identified on production day, as well as post-release.

Overall conclusion

Statistics Canada has established an adequate governance framework with elements in place to support the quality of Justice Statistics data. The effectiveness of these frameworks could be further improved by formalizing the roles, responsibilities and accountabilities, including the interdependencies of key CCJS personnel, as well as the external stakeholders that make-up the governance committees. Further, the establishment of a robust risk management framework that periodically identifies and assesses current divisional and program-level risks would strengthen the mitigation of risks that could affect the quality of data produced by CCJS.

The audit noted that effective control mechanisms have been established and are consistently applied to ensure the release of quality data in accordance with the agency's Quality Guidelines. Although adequate guidance and training is provided to obtain administrative data from the CCJS data providers, along with a data cleansing and validation process in place, the existing verification processes varied between the CCJS programs audited. Similarly, even though there is evidence of an effective review process to identify errors with data products, it is not being consistently maintained or documented.

Conformance with professional standards

The audit was conducted in accordance with the Internal Auditing Standards for the Government of Canada, which includes the Institute of Internal Auditors and the International Standards for the Professional Practice of Internal Auditing.

Sufficient and appropriate audit procedures have been conducted and evidence gathered to support the accuracy of the findings and conclusions in this report and to provide an audit level of assurance. The findings and conclusions are based on a comparison of the conditions, as they existed at the time, against pre-established audit criteria. The findings and conclusions are applicable to the entity examined and for the scope and time period covered by the audit.

Patrice Prud'homme
Chief Audit Executive

Introduction

Background

Since 1981, the federal, provincial and territorial deputy ministers responsible for the justice system in Canada have been working together, along with the Chief Statistician of Canada, on the National Justice Statistics Initiative (NJSI). The mandate of the NJSI is to provide information to the justice community and the public on the nature and extent of crime and victimization, as well as on the administration of criminal and civil justice in Canada.

Through the Canadian Centre for Justice Statistics (CCJS), a division of Statistics Canada, the efforts of the NJSI are directed toward the production of data to inform the legislative, policy, management and research agendas of federal–provincial–territorial partners, and to inform the public. The focus of the CCJS is the development, collection, integration and analysis of data that reflect trends in Canada and on the development of national- and jurisdictional-level indicators.

There are three statistical programs within the CCJS: the Policing Services Program, the Courts Program and the Correctional Services Program. Each program is responsible for the following flagship survey:

  • Policing Services Program: The Uniform Crime Reporting (UCR) Survey collects data from police services across Canada on incidents, victims and persons accused of police-reported crime, including hate crimes.
  • Courts Program: The Integrated Criminal Court Survey (ICCS) collects detailed microdata on every appearance in adult criminal and youth court, which are aggregated into charges and cases.
  • Correctional Services Program: The Integrated Correctional Services Survey collects microdata on adults and youth under the responsibility of the federal and provincial–territorial correctional systems.

In addition to these three programs, CCJS also includes other groups and units:

  • The Analysis Section is responsible for working with members of the Liaison Officers Committee of the National Joint Statistics Initiative (LOCNJSI) to undertake analysis on special topics of interest to the NJSI. This section also undertakes analysis on a cost-recovery basis for initiative partners and for other government departments on justice-related issues.
  • The Data Access and Dissemination Unit works with program areas and other areas within Statistics Canada to increase access to CCJS data products, such as making justice data available through the research data centres.
  • The Data Development Unit (formerly the Corporate and Special Projects Unit) is responsible for working with members of LOCNJSI on a multi-year project to examine re-contact with the justice system. This project will create a series of sector-specific indicators that will give policy makers and researchers information on the extent of re-arrest, re-conviction and re-involvement with the policing, courts and corrections sectors in Canada, as well as the capacity to analyze cross-sectoral factors that influence re-contact. It is also responsible for a number of other projects to maintain the relevancy of the reports produced by CCJS in future years.
  • Outside of the work performed by the agency's Quality Secretariat, which exists to promote sound quality management practices for Statistics Canada program areas based on the agency's Quality Guidelines, the Data Quality Secretariat (DQS) was recently created within CCJS to carry out data-quality evaluations and to support its program areas in enhancing data-quality procedures. The intent of the DQS is to continue to evaluate the quality of data, assess key risks and document best practices for the various CCJS data programs; develop an implementation plan for addressing key areas of vulnerability with respect to data quality; and begin to implement recommended data quality initiatives.

The three CCJS programs rely on the reception of administrative data by justice partners, including policing services, courts and correctional facilities—referred to as 'data providers.' To ensure the quality of CCJS data and data products, a number of governance committees and working groups—comprising key CCJS personnel, data providers and other judicial stakeholders—have been established. For example, the LOCNJSI oversees the work of CCJS on behalf of the NJSI. The members of the LOCNJSI include departmental officials appointed by deputy ministers, the Statistics Canada director general responsible for CCJS, and a representative of the Canadian Association of Chiefs of Police. The committee provides insight into topics of interest within the community, reviews work-in-progress Juristats and other reports, and provides a communication channel between the data providers and CCJS to discuss data quality issues.

Audit objectives

The objectives of the audit were to provide the Chief Statistician and the Departmental Audit Committee with assurance that

  • Statistics Canada has established an adequate governance framework to support the quality of Justice Statistics data
  • effective control mechanisms have been established and are consistently applied to ensure the release of quality data in accordance with the agency's Quality Guidelines.

Scope

The scope of this audit included an examination of the adequacy and effectiveness of the quality assurance framework over Justice Statistics. Specific areas examined included whether

  • governance, roles, responsibilities and accountabilities for the quality of data within CCJS are clear and well communicated
  • management identifies and assesses the risks that may preclude the achievement of quality products
  • effective control mechanisms have been established and are consistently applied to ensure the quality of data from data providers for the ICCS and UCR Survey, as well as for the quality of information released as part of the Juristat and The Daily release processes.

The scope of the audit work originally included an assessment of the activities related to the production of Justice Statistics products from January 1, 2014, to December 31, 2014. This scope was extended to also include an assessment of the activities related to the production of Justice Statistics products pertaining to the Courts Program from January 1, 2013, to December 31, 2013, as the Courts Program has not processed any data since 2013 because of its current transition to the Social Survey Processing Environment.

The audit criteria for this audit are presented in Appendix A.

Approach and methodology

The audit work consisted of a comprehensive review and analysis of relevant documentation, interviews with key management and staff, and testing to assess the effectiveness of processes in place.

The field work included a review and testing of CCJS processes and procedures in place related to the quality and accuracy of the Justice Statistics information.

The audit focused on the assessment of the key controls and processes established for two of the three key CCJS surveys: the UCR Survey and the ICCS.

This audit was conducted in accordance with the Internal Auditing Standards for the Government of Canada, which includes the Institute of Internal Auditors' International Professional Practices Framework.

Authority

The audit was conducted under the authority of the approved Statistics Canada integrated Risk-Based Audit and Evaluation Plan 2014/2015 to 2018/2019.

Findings, recommendations and management response

Objective 1: Statistics Canada has established an adequate governance framework to support the quality of Justice Statistics data.

Governance in support of the quality of Justice Statistics

Roles, responsibilities and accountabilities of the key personnel responsible for the quality of Justice Statistics are well understood within the Canadian Centre for Justice Statistics (CCJS) and by key external stakeholders. Several committees have been established to monitor the quality of CCJS data and formal terms of reference outlining their roles and responsibilities have been developed. However, a formal document, such as a CCJS accountability and governance framework, has not been developed to provide an overview of all of the key roles, responsibilities and accountabilities within the CCJS directorate, as well as the roles and responsibilities of governance committees and other stakeholders, including their interdependencies.

A CCJS Data Quality Secretariat was established in 2014, and although it has been working on completing a number of quality reviews, their role, responsibilities and accountabilities outside of this type of direct reporting structure within the CCJS has not been formally defined.

Given the number of internal and external stakeholders, a robust governance framework is essential to ensure the quality of Justice Statistics. Roles, responsibilities and accountabilities for the quality of data within the Canadian Centre for Justice Statistics (CCJS), including the Data Quality Secretariat (DQS), should be clearly documented and well understood. As well, appropriate and effective oversight bodies should be established to monitor the quality of CCJS data, as it pertains to the internal and external environments of CCJS.

Roles, responsibilities and accountabilities are well understood within CCJS and by key external stakeholders; however, opportunities exist to improve the formalization of their roles, responsibilities and interdependencies

A key component of governance structures is the establishment of roles, responsibilities and accountabilities of stakeholders. The audit team noted that although the roles, responsibilities and accountabilities of the key personnel responsible for the quality of Justice Statistics seem appropriate and well understood within CCJS and by key external stakeholders, they are not formally documented. Rather, the only documentation outlining roles and responsibilities at the personnel-level are job descriptions, which are either generic and do not fully capture all of the roles and responsibilities of key personnel, or are out of date.

The governance structure for CCJS is unique in that it reports not only to internal stakeholders, but also to external stakeholders, through CCJS' membership in the National Justice Statistics Initiative (NJSI), which works with CCJS to produce useful information to inform the legislative, policy, management and research agendas of federal–provincial–territorial partners, and the public. These external stakeholders are important partners in ensuring the quality of CCJS' data and data products. As a direct result of the NJSI, several governance committees have been established to monitor the quality of CCJS data. These governance committees include the Liaison Officers Committee of the National Justice Statistics Initiative and the Police Information and Statistics (POLIS) Committee (a subcommittee of the committee for the Canadian Association of Chiefs of Police) and include representatives of the relevant CCJS programs and external stakeholders, such as government and data-provider representatives. The committees' membership structure fosters a consistent understanding of data product quality expectations, data definitions and jurisdictional data quality requirements, among others. Although formal terms of reference have been developed for the various governance committees, there is no formally documented accountability framework outlining the various roles, responsibilities and accountabilities of all governance committees, including their reporting structure and other interdependencies. Since many of the key personnel within CCJS have been in place for some time and have considerable organizational knowledge, there has not been a perceived need for documenting this.

However, because CCJS does have a unique and interlinked governance framework that includes oversight at both the departmental level and oversight through the various external partner organizations, there is the potential for overlap or gaps in coverage without a formal accountability framework in place. This would also provide a mechanism to ensure that key personnel and external stakeholders are aware of their responsibilities and accountabilities regarding data quality.

The roles, responsibilities and accountabilities for the CCJS' Data Quality Secretariat have not yet been formally defined and communicated

The DQS was created in 2014 for CCJS to address quality concerns stemming from the fact that specific JuristatsFootnote 1 had to be retracted because of data errors. The DQS, which is part of CCJS' Data Access and Dissemination Unit, is described in the 2015/2016 CCJS Operational Plan as a "new secretariat [that] has been formed to carry out data quality evaluations and to support program areas in enhancing data quality procedures."

Although the DQS has been working on the completion of a number of quality reviews within CCJS, their role, responsibilities and accountabilities outside of this type of reporting have not yet been well-defined or documented. As well, interviewees noted confusion regarding the role of CCJS' DQS versus that of the agency-wide Quality Secretariat, which recently performed a quality review of CCJS' Courts Program. According to the Statistics Canada intranet, the agency's Quality Secretariat is dedicated to supporting the development and implementation of policies and procedures that promote sound quality management practices, designing and managing studies related to quality management, and providing advice and assistance to program areas on quality management.

The DQS currently comprises only the chief of the unit, and no other positions within that unit have been staffed. In the interim, the work undertaken by the unit is currently being performed by the chief and representatives from the Data Access and Dissemination Unit.

Without the formal documentation of the expected role and responsibilities of the DQS, there is an increased risk that they may not be meeting the expectations of both senior management and stakeholders in improving data quality throughout the CCJS division. Additionally, there is an increased risk of duplication of efforts, especially with that of the agency's Quality Secretariat. The development of an accountability and governance framework, as mentioned above, would provide an opportunity to outline the roles and responsibilities of the DQS, as well as to formalize how the DQS' role differs from that of the agency's Quality Secretariat.

Recommendations

It is recommended that the assistant chief statistician, Social, Health and Labour Statistics, ensure that

  • a formal accountability and governance framework is developed that outlines the various roles, responsibilities and accountabilities within CCJS and of external stakeholders (including governance committees) responsible for CCJS data quality, and their interdependencies. This accountability framework should also include the role, responsibilities and accountabilities of the DQS.

Management response

Management agrees with the recommendation.

  • The DQS and program chiefs will jointly prepare an accountability framework to be approved by the director, director general and assistant chief statistician responsible for the CCJS, which outlines the internal and external stakeholders' roles and responsibilities, the various committees and their interdependencies. To this end, CCJS will build on existing terms of reference of the NJSI and that of the POLIS to harmonize and improve governance and accountability so that roles and responsibilities as well as interdependence are clear.
  • A terms of reference document for the CCJS' DQS will also be prepared for approval by the director, director general and assistant chief statistician responsible for CCJS. The terms of reference will outline the roles and responsibilities of the DQS and its membership.

    Deliverables and timeline: Both a formalized accountability framework and the terms of reference documents are to be completed by June 2016.

Risk management in support of the quality of Justice Statistics

Although high-level risks have been identified by the division for the development of the agency's Corporate Risk Profile, the division's risk register has not been updated since March 2012.

No formal risk management processes have been developed at either the Canadian Centre for Justice Statistics (CCJS) divisional or the individual program level for the identification and assessment of the risks to the quality of CCJS' data and data products. Additionally, no processes have been established for the development of risk mitigation strategies or the ongoing monitoring of both the risks and the effectiveness of the risk mitigation strategies by divisional management.

An effective risk management framework needs to be established to identify, assess, mitigate and monitor the potential and emerging risks that may affect the quality of the Canadian Centre for Justice Statistics' (CCJS') data and data products.

No formal risk management process exists at either the CCJS divisional or individual program level to identify and assess risks posed to the quality of data

CCJS management participates in the agency's risk management exercise, which is to periodically identify and assess the high-level risks facing the achievement of their objectives as part of the Corporate Risk Profile exercise. However, no formal risk management processes have been established to regularly identify and assess CCJS' divisional or program-level risks.

Although various documents outline high-level risks facing the CCJS division, the detailed risk register for the division has not been updated since March 2012. The chiefs and the director of CCJS are in the process of reviewing and updating the risk register to reflect the risks currently facing the three CCJS programs; however, at the time of the audit, this exercise had not been completed.

The audit further noted that, although certain risks and issues are being informally mitigated and monitored for each program, no formal process has been established for developing divisional or program-level risk mitigation strategies and their monitoring. The previous risk register, dated March 2012, provides a rating for the effectiveness of current mitigation strategies; however, the risk register does not include specific information on what these mitigation strategies are or how they will address the identified risks. Additionally, no documentation has been maintained as evidence of the ongoing monitoring of the identified risks and the effectiveness of the risk mitigation strategies.

Without a formal process in place for the systematic and ongoing identification and assessment of the risks to the quality of CCJS data and its related products, there is an increased possibility that these potential risks will not be appropriately escalated and mitigated in a timely manner by the (identified) appropriate owner of the risk or risks.

Recommendations

It is recommended that the assistant chief statistician, Social, Health and Labour Statistics, ensure that

  • the newly formed Data Quality Secretariat (DQS) take on the role of maintaining a formal risk management process for the CCJS that periodically identifies and assesses divisional and program-level risks, as well as handles the development of risk mitigation strategies for continuously monitoring their effectiveness.

Management response

Management agrees with the recommendation.

  • The director of CCJS will ensure that the DQS will work with the CCJS program areas (Policing, Courts and Corrections) to identify risks and prioritize risk mitigation strategies and action plans for approval by the director, director general and assistant chief statistician responsible for CCJS. The risk profile and mitigation action plans will be reviewed and updated annually as part of CCJS' operational planning. The development of risk mitigation strategies and the monitoring of their effectiveness will rest with the CCJS program areas as part of the survey operation.

    Deliverables and timeline: The CCJS risk profile is to be completed by January 2016. A formalized document integrating the risk mitigation plan as part of CCJS' operational planning process is to be completed by March 2016. The effectiveness of the mitigation plan will be reflected within the CCJS' risk profile on an ongoing basis.

Objective 2:Effective control mechanisms have been established and are consistently applied to ensure the release of quality data in accordance with the agency's Quality Guidelines.

Control mechanisms over data processing

Through the development of a National Data Requirements document and a Uniform Crime Reporting (UCR) Incident-Based Survey Manual; the creation of a UCR National Training Officer; and the ongoing relationship and communications with data providers, the Policing Services and Courts programs are adequately supporting the training and guidance needs of their data providers.

To improve the reliability, completeness and accuracy of the data, the Canadian Centre for Justice Statistics requests that data providers validate their data sets annually before the production of Justice Statistics publications. The audit team noted that data providers are consistently signing-off on the reasonability of the data, and when possible, its accuracy and completeness.

Since both the UCR Survey and the Integrated Criminal Court Survey (ICCS) rely solely on the reception of administrative data from data providers, there is a need for the effective cleansing and verification of the data received through the use of SAS-based edit and imputation programs. Data cleansing and verification processes help detect and correct (or remove) corrupt, duplicate or inaccurate records from a record set. For both the UCR Survey and ICCS, edit and imputation programs have been developed in conjunction with Statistics Canada's Methodology Branch to achieve the level of quality required for the purpose of the data. The audit team noted opportunities to further strengthen the expectation of follow-up activities relative to the edits, imputations, warnings and trends for the ICCS survey and the documentation of follow-up activities performed with data providers for both surveys.

Given that a representative from Statistics Canada's Operations and Integration Division is solely responsible for the data entry of responses received by paper from the UCR1 respondents, the audit team noted further opportunities to strengthen this data entry process through the inclusion of a peer or supervisory data verification review.

The Statistics Canada Quality Guidelines note that when using administrative data, such as those that are relied upon by the Canadian Centre for Justice Statistics (CCJS), the key quality indicators are that data are relevant, accurate, timely and coherent. Controls over the processing of the data received from data providers ensure that the data meet these quality indicators. Adequate guidance and training should be provided to data providers to support the collection of reliable, complete, accurate and timely data and channels should be established for data providers to communicate any changes to their systems and processes or any changes to administrative data definitions that affect the data provided to CCJS. Effective data cleansing and verification processes should also have been established to ensure the reliability and relevancy of the data collected, and an effective validation process should have been established to confirm the reliability, completeness and accuracy of the data provided.

Adequate guidance and training is provided to data providers to support the collection of reliable, complete, accurate and timely data

In conjunction with data providers, CCJS has developed National Data Requirements for each of the surveys reviewed. They outline the approved data definitions and parameters for each data field required for both the Uniform Crime Reporting (UCR) Survey and the Integrated Criminal Court Survey (ICCS), and are relied on by data providers and program staff to ensure a consistent understanding of the data definitions. In addition to the National Data Requirements, the Policing Services Program has also developed a UCR Incident-Based Survey Manual to provide additional guidance to data providers in the discharge of their responsibilities relative to the quality of the data they provide.

Because of the significant number of data providers (over 100 covering over 1,000 policing service detachments) they rely on, the Policing Services Program has further developed standardized training, which is available to all data providers, and created the role of National Training Officer, whose main responsibilities include providing guidance, support and training to data providers.

Given the limited number of data providers and the variety of information systems used to collect and transfer data to CCJS, the Courts Program has not developed standardized training for data providers outside of the National Data Requirements. Rather, the program relies on their ongoing relationship with their 13 data providers and their participation on the Liaison Officers Committee of the National Joint Statistics Initiative (LOCNJSI) Working Group on ICCS Data Quality to provide ongoing guidance and support to data providers.

The audit noted that both the Policing Services Program and the Courts Program have established adequate channels for data providers to communicate any changes to either their systems and processes or administrative data definitions that affect the data provided to CCJS. Specifically, the audit noted that both programs have mechanisms in place to foster strong working relationships with data providers through the LOCNJSI, the Police Information and Statistics Committee and various subcommittees of each, as well as through ongoing contact with individual data providers.

Adequate data cleansing and verification processes have been established to ensure the reliability and relevancy of the data collected; however, verification practices between programs varied

Since both the UCR Survey and ICCS rely solely on the reception of administrative data from data providers, there is a need for the effective cleansing and verification of the data received through the use of edit and imputation programs. Data cleansing and verification processes help detect and correct (or remove) corrupt, duplicate or inaccurate records from a record set. For both the UCR Survey and ICCS, edit and imputation programs have been developed in conjunction with Statistics Canada's Methodology Branch to achieve the level of quality required for the purpose of the data.

Specific to the UCR Survey, two types of data providers exist. They are

  • UCR1: Respondents are unable to provide digital microdata because of systems that are incompatible with CCJS' systems, and instead provide aggregate counts by paper to CCJS
  • UCR2: Respondents generally use one of two data management systems that are compatible with CCJS' systems, and provide microdata to the program via a data extract from their system.

In 2011, to leverage the expertise within Statistics Canada, the agency's Operations and Integration Division (OID) started playing a role in processing both UCR1 and UCR2 data. Specifically, OID is responsible for the data entry of the aggregate counts received by paper by UCR1 respondents and the processing of the data received by UCR2 data providers.

Based on a sample of 5 UCR1 and 10 UCR2 selected respondents, it was noted to be a general practice that the data be manually captured by a representative from OID. Although the audit team noted that some controls have been embedded within the data entry process, such as batch total checks, no peer or supervisory data entry verification is being performed. Given that UCR1 respondents represent only a small percentage of data providers (approximately 4%), the conduct of a peer or supervisory data entry verification could help decrease the risk of data integrity issues going undetected.

UCR2 data are processed using a SAS-based edit and imputation program. This program performs data cleansing and verification edits and imputations, and highlights fields that fall outside of expected parameters for verification purposes. The processing system will then generate reports logging any edits, imputations or warnings resulting from the processing of the data, called an Edit and Imputation (E & I) report. Because deletions, edits and imputations performed on the data records can affect the overall quality of the data, the Policing Services Program indicated that follow-up with data providers is deemed critical in addressing certain potential data integrity issues.

The audit team was able to review evidence of the conduct of follow-up activities performed by the program and OID; however, varying levels of documentation were provided for 7 out of the 10 E & I reports sampled, therefore follow-up activities are not being consistently captured and a standardized process or template for UCR analysts to track the status of these follow-ups with data providers has not yet been developed. Further, there is currently no requirement for management within the program to review the actions undertaken by the analysts when conducting this follow up with data providers.

Without the consistent and formal tracking of follow-up activities undertaken with UCR2 data providers based on the results of the E & I reports generated by the processing system, and without the review by CCJS program management of the activities undertaken by the analyst to address data issues, there is an increased risk that follow-up activities may not be performed or issues not remediated per expectations.

The ICCS data, similar to UCR2, are received electronically in the form of microdata, and then processed through a SAS-based program. Again, similar to the UCR2 data, reports are automatically generated by the system to provide CCJS with a summary of the edits and imputations performed by the program and any subsequent warnings that are flagged.

When deemed material, analysts are following up on the edits, imputations and warnings performed or flagged by the system with the ICCS data providers. The program indicated that, historically, deleted or imputed records within ICCS data have represented only a small percentage of received data records. The audit team noted, however, that no formal parameters (i.e., threshold numbers or percentages) have been established for the Courts Program team responsible for the ICCS to trigger when processing edits, imputations, warnings or trends should be investigated further. Rather, the need for follow-up activities is left at the discretion of the responsible analyst, based on the review of a tracking spreadsheet of the number and type of edits, imputations and warnings that were generated by the system for each data provider in past years.

Without the establishment of formal parameters (numbers and/or percentages) for the investigation of ICCS processing edits, imputations, warnings and trends, there is an increased risk that significant data integrity issues may not be investigated or key data may be deleted from the population, affecting the quality of data products.

An effective validation process has been established to confirm the reliability, completeness and accuracy of the data provided

To improve the reliability, completeness and accuracy of the data, CCJS requests that data providers validate their data sets annually before the production of Justice Statistics publications. As part of the process, CCJS will prepare data tables outlining the data provider's complete data set for the year, along with explanations of the tables provided and their significance. Data providers are then given a period of time to review the data packages and to provide the applicable CCJS program with any corrections or explanations for unexpected variances. Once these changes are made, data providers are expected to sign-off on the data set.

The audit team noted that data providers are consistently signing off on the reasonability of the data, and when possible, its accuracy and completeness. Based on a sample of 18 data providers for the UCR Survey and ICCS, all of the annual validation packages were found to be signed off for the year in question.

Recommendations

It is recommended that the assistant chief statistician, Social, Health and Labour Statistics, ensure that

  • a standardized process, with relevant tools, is established for the UCR2 as it pertains to the tracking of all edits, imputations and warnings outlined in the E & I reports, including the documentation of consultations with data providers
  • Formal parameters are established for the investigation of ICCS data edits, imputations, warnings and trends. These parameters should be established based on the impact of a change on each variable on the survey.

Management response

Management agrees with the recommendations.

  • The UCR survey manager will develop a reference document and log template so that analysts are documenting data quality issues and follow-ups with respondents consistently. This reference document and log template will be approved by the chief of the Policing Services Program.

    Deliverables and timeline: Both formalized documents, the reference document and the log template are to be completed by March 2016.
  • The ICCS survey manager and methodologists are to prepare documentation on the formal parameters and processing reports, which is to be approved by the chief of the Courts Program. The documents will show the formal parameters to monitor edits, imputations and data verification for the ICCS.

    Deliverables and timeline: Formalized documentation for the ICCS is to be completed by fall 2017.

Control mechanisms over the production of Justice Statistics products

Adequate internal and external review processes have been established to identify potential data errors within draft data products in a timely manner; however, the audit noted opportunities to improve the documentation maintained as evidence of these reviews and how issues and errors were addressed.

The audit noted that although some evidence was obtained demonstrating that the Canadian Centre for Justice Statistics is addressing and communicating errors identified post-review (either pre- or post-release), no formal processes highlighting the steps to be followed and the documentation to maintain when addressing or escalating errors identified post-review have been established.

Effective control mechanisms over the production of Justice Statistics data products help enable the Canadian Centre for Justice Statistics (CCJS) to meet stakeholders' quality expectations. In accordance with the Statistics Canada Quality Guidelines, it is critical to have controls in place to ensure that the data released by CCJS are relevant, accurate, timely and coherent. To achieve this, an effective review process should be established to identify and address potential data errors in data products in a timely manner. Additionally, an effective framework should be established to ensure that any data errors identified post-review are also communicated and addressed in a timely manner.

An effective review process has been established to identify data errors within draft data products in a timely manner; however, evidence of the conduct of the internal and external reviews is not being consistently maintained

Once all data providers have signed-off on the data sets, both the Courts Program and the Policing Services Program use these validated data sets to create data products (via Juristat and The Daily). CCJS program analysts are responsible for creating the data products and, once completed, the data products undergo a robust internal review process, which includes (1) a peer review whereby all of the data are recalculated and analyzed; (2) a review by the survey manager and program chief, which includes questioning the analysis undertaken by the analyst and any unexpected data trends; and (3) reviews by the chiefs of the other CCJS programs and the director or director general for overall reasonableness of the data and consistency of their appearance with other CCJS data products.

In addition to the internal review process, to improve the reliability of the data reported, the data products are also submitted to external stakeholders, including data providers for review and validation. Specifically, the Integrated Criminal Court Survey (ICCS) Juristat is submitted to the associated liaison officers (LOs) and the Uniform Crime Reporting (UCR) Juristat is submitted to Police Information and Statistics Committee representatives and the representing LOs to validate that the information enclosed in the publication appears accurate.

Although the audit team is satisfied with the level of internal and external reviews, it was noted that an inconsistent level of documentation is maintained to demonstrate the conduct of the internal and external reviews, including how issues and errors have been addressed and resolved.

No internal formal processes have been established to communicate and remediate data errors identified post-review (pre- and post-release)

The processes to be followed in the event of the identification of an error post-review (both pre- and post-release) have not been formally documented. Rather, the audit noted that informal processes are being followed when an error is identified internally or communicated by external stakeholders. Specifically, Statistics Canada's Dissemination Division has developed an error log to track the errors discovered in released publications. This error log includes the results of an assessment of the error's impact, if the data have been corrected, and the reload date of the publication. However, the audit noted that for identified errors, inconsistent documentation is maintained to indicate how these errors were communicated, documented and addressed. For some identified errors, a communications plan was developed and maintained to describe the error and its impact, as well as to compare the original data to the revised data and provide a strategy for correcting the error and communicating the impact to the applicable stakeholders. However, for other errors, no documentation evidencing the internal communication and escalation of the issue was maintained.

Once errors have been corrected and publications have been reloaded on the Statistics Canada external website, an explanation note is included on the website stating the nature of the error that has been corrected and the date the publication was reloaded.

The audit also noted that CCJS is addressing and communicating errors identified post-review, and that the Statistics Canada Directive on Corrections to Daily Releases and Statistical Products is followed when addressing or escalating errors identified on production day, as well as post-release.

Recommendations

It is recommended that the assistant chief statistician, Social, Health and Labour Statistics, ensure that

  • pre-release internal and external review processes, as well as the expectations of the reviewer in reviewing data products, should be formally documented
  • adequate documentation should be maintained to demonstrate the conduct of both the internal and external reviews of the data products. This could include a Quality Assurance sign-off checklist to be completed by all management levels before data are released.

Management response

Management agrees with the recommendation.

  • The director of CCJS will ultimately ensure that a one-page document on reviewer expectations is developed so that CCJS stays up-to-date on the authority and acknowledgment of confidentiality for advance release for data validation. The discussion on the expectations of the reviewer, who is most likely the LO of the National Justice Statistics Initiative, will also take place during the orientation of new LOs.

    Deliverables and timeline: A formalized one-page document is to be completed by fall 2015.
  • The author of each Juristat report will be responsible for preparing the log-sheet outlining the comments of the internal and external reviewers and CCJS' responses to the comments. These log-sheets will be approved by the chief of the Analysis Unit.

    Deliverables and timeline: Log-sheets will be created and approved continually as reports are published via Juristat.

Appendices

Appendix A: Audit criteria

Appendix A: Audit criteria
Control objective, core controls and criteria Sub-Criteria Policy Instrument
Objective 1: Statistics Canada has established an adequate governance framework to support the quality of Justice Statistics data.
1.1 Roles, responsibilities and accountabilities for the quality of data within the Canadian Centre for Justice Statistics (CCJS) are clear and well communicated. 1.1.1 Roles, responsibilities and accountabilities for key personnel responsible for the quality of Justice Statistics have been clearly documented and are well understood.

1.1.2 The role, responsibilities and accountabilities of the Data Quality Secretariat in supporting the quality of data within CCJS have been clearly documented and are well understood.

1.1.3 Appropriate and adequate oversight bodies have been established to monitor the quality of CCJS data.
Management Accountability Framework (MAF) – Core Management Control

Statistics Canada Quality Guidelines
1.2 Management identifies and assesses the risks that may preclude the achievement of quality as an objective for the CCJS. 1.2.1 Formal processes and guidelines exist and are applied to facilitate the identification and assessment of risks to the quality of Justice Statistics data.

1.2.2 Risk mitigation strategies have been developed to address key risks and are monitored continuously for effectiveness.

1.2.3 Employees are aware of values and ethics directives and understand who and where to report potential wrongdoing.
MAF – Core Management Control

Statistics Canada Quality Guidelines
Objective 2: Effective control mechanisms have been established and are consistently applied to ensure the release of quality data in accordance with the agency's Quality Guidelines.
2.1 Effective control mechanisms have been established and are consistently applied to ensure the quality of data from data providers for the Integrated Criminal Court Survey and Uniform Crime Reporting Survey. 2.1.1 Adequate guidance and training is provided to data providers to support the collection of reliable, complete, accurate and timely data.

2.1.2 Channels have been established for data providers to communicate any changes to their systems and processes or any changes to administrative data definitions affecting the data provided to CCJS in a timely manner.

2.1.3 Effective data cleansing and verification processes have been established to ensure the reliability and relevancy of the data collected.

2.1.4 An effective validation process has been established to confirm the reliability, completeness and accuracy of the data provided.
MAF – Core Management Control

Statistics Canada Quality Guidelines
2.2 Effective control mechanisms have been established and are consistently applied to ensure the quality of information released as part of Juristat and The Daily release processes. 2.2.1 An effective review process has been established to identify data errors in a timely manner.

2.2.2 Edits proposed by Communications Division are reviewed in a timely manner.

2.2.3 An effective framework has been established to ensure that data errors identified post-review are communicated and addressed in a timely manner.
MAF – Core Management Control

Statistics Canada Quality Guidelines

Appendix B: Acronyms

Appendix B: List of acronyms
Acronym Description
CCJS Canadian Centre for Justice Statistics
DQS Data Quality Secretariat (CCJS)
E & I Edit and imputation (report)
ICCS Integrated Criminal Court Survey
LO Liaison officers
LOCNJSI Liaison Officers Committee of the National Joint Statistics Initiative
MAF Management Accountability Framework
NJSI National Justice Statistics Initiative
NTO National Training Officer
OID Operations and Integration Division
POLIS Police Information and Statistics Committee
UCR Uniform Crime Reporting (Survey)

Note:

Footnote 1

Juristat is a publication that provides in-depth analysis and detailed statistics on a variety of justice-related topics and issues. Topics include crime; victimization; homicide; civil, family and criminal courts; and correctional services. It is intended for those with an interest in Canada's justice system as well as those who plan, establish, administer and evaluate justice programs and projects.

Return to footnote 1 referrer

Audit of Data-sharing agreements Manitoba Health, Healthy Living and Seniors

September 14, 2015
Project Number: 80590-88

Executive Summary

Data-sharing agreements (DSAs) are a key Statistics Canada business process. In recent years, data sharing has become a growing and increasingly complex area to manage. Ensuring confidentiality of data is becoming more complicated as business processes and organizational structures are continually changing. Health Statistics Division of Statistics Canada enters into DSAs with provincial health ministries under the authority of section 12 of the Statistics Act.

Two new omnibus agreements replacing existing DSAs were signed on February 14, 2014, between Statistics Canada and Manitoba Health, Healthy Living and Seniors (Manitoba Health) for the collection and sharing of information from several selected health and nutrition surveys. The first DSA allows for the sharing of statistical health survey information obtained through the Canadian Community Health Survey (CCHS), the National Population Health Survey and the Survey on Living with Chronic Diseases in Canada. The second DSA allows for the sharing of information on the nutrition component from the CCHS.

To protect the confidentiality and sensitive nature of the information collected, the DSAs contain terms and conditions (T&Cs) to ensure that confidentiality of information is not compromised.

The objective of this audit is to provide assurance to the Chief Statistician and Statistics Canada's Departmental Audit Committee that the terms and conditions of the DSAs between Statistics Canada and Manitoba Health are met.

The audit was conducted by Internal Audit Division in accordance with the Government of Canada's Policy on Internal Audit.

Key findings

Authorities are defined and the Statistics Canada policy framework sets out clear roles, responsibilities and practices for the management and implementation of DSAs.

Authorities, responsibilities and accountabilities are clearly defined, understood and monitored at Manitoba Health to support effective management of the T&Cs of the omnibus DSAs. While the employees managing the Statistics Canada data are long-term employees who understand their roles and responsibilities, the data custodian has not signed a confidentiality agreement as stipulated in Appendix C of the DSAs, and the responsibilities and procedures related to the management of Statistics Canada data under the DSAs have not been formally documented. Furthermore, the existence of the DSAs and the security compliance requirements stipulated therein had only recently been communicated to the Information Systems Branch, which is responsible for ensuring the security of the UNIX server where the Statistics Canada data are stored.

Management at Manitoba Health identifies and assesses the appropriateness of existing controls to effectively manage its risks, and it responds to and monitors its risk exposure.

Statistics Canada data are protected at Manitoba Health. Logical and physical access controls and procedures exist to safeguard the data in compliance with the DSAs. However, access to the Statistics Canada folder on Manitoba Health's secure network drive was not restricted only to those individuals who require access to the Statistics Canada data and who have signed confidentiality agreements.

Overall conclusion

Statistics Canada entered into statistical DSAs with Manitoba Health to assist and support health planning and decision making. The omnibus DSAs include T&Cs governing the use, confidentiality, access, monitoring and compliance of information, and of physical and IT security.

While the audit revealed that authorities, responsibilities and accountabilities are clearly defined, understood and monitored at Manitoba Health to support effective management of the T&Cs of the omnibus DSAs, strengthening some of the practices and procedures within Manitoba Health is necessary for the sound management and protection of Statistics Canada confidential information:

  • Responsibilities and procedures related to the management of Statistics Canada data under the DSAs should be formally documented.
  • The data custodian should sign a confidentiality agreement.
  • The existence of the DSAs and the security compliance requirements should be communicated to all staff involved in ensuring the confidentiality and security of the Statistics Canada data.

Policies and risk management processes exist to ensure the protection of restricted data at Manitoba Health. Logical and physical access controls are established to safeguard the data in compliance with the DSAs. However, access to the Statistics Canada folder on Manitoba Health's secure network drive should be restricted, on a 'need-to-know' basis, to employees who have signed a confidentiality agreement in compliance with the T&Cs of the DSAs. Nevertheless, the audit did not reveal any evidence that Statistics Canada confidential information had been accessed by unauthorized personnel.

Conformance with professional standards

The audit was conducted in accordance with the Internal Auditing Standards for the Government of Canada, which includes the Institute of Internal Auditors' International Standards for the Professional Practice of Internal Auditing.

Sufficient and appropriate audit procedures have been conducted and evidence gathered to support the accuracy of the findings and conclusions in this report and to provide an audit level of assurance. The findings and conclusions are based on a comparison of the conditions, as they existed at the time, against pre-established audit criteria. The findings and conclusions are applicable to the entity examined and for the scope and time period covered by the audit.

Patrice Prud'homme
Chief Audit Executive

Introduction

Background

Health Statistics Division (HSD) at Statistics Canada has the mandate to provide accurate, timely and relevant information about the health of Canadians. HSD provides statistical information about the health of the population, the determinants of health, and the scope and utilization of Canada's health care resources. This information is used to assist and support health planners and decision makers at all levels of government, to sustain demographic and epidemiological research, and to report to the Canadian public about their collective health and health care system. HSD works in partnership with provincial and territorial vital statistics registrars and cancer registries as well as data providers and users at the federal level (Health Canada and the Public Health Agency of Canada), provincial level (provincial ministries of health), and regional level (health regions).

To achieve its mandate, HSD enters into statistical data-sharing agreements (DSAs) with other organizations under the authority of sections 11 and 12 of the Statistics Act. These agreements cover nearly all of the business surveys and a majority of household surveys, and enjoy certain exceptions regarding the release of confidential respondent information either with or without the respondent's consent, provided that the legal requirements for the provision of data-sharing information, consent rights and confidentiality protection are respected by all parties. In general, data sharing for statistical purposes occurs when statistical and information inquiry is initiated by joint survey partners, or where a common data resource is equally and jointly owned by two or more partners. Data sharing is exercised when there are significant reductions in response burden and compliance costs for data-sharing partners, as well as improvements in statistical data accuracy, coverage, relevance and timeliness.

In recent years, DSAs have become a key business process because ensuring confidentiality and protection of data can pose challenges. Currently, Statistics Canada has two agreements with Manitoba Health covering health surveys, under the authority of section 12 and Sub-section 17(2) of the Statistics Act. Health surveys for the Canadian Community Health Survey (CCHS), National Population Health Survey (NPHS) and Survey on Living with Chronic Diseases in Canada (SLCDC) are included in the first agreement. The second agreement is specific to the disclosure of information on the nutrition component from the CCHS.

Through its mandate, the CCHS program collects information related to health status, health care utilization and health determinants for the Canadian population. The first component of the CCHS program is an annual survey that relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level. The second component focuses on specific health-related topics such as nutrition, mental health or healthy aging and is conducted approximately every three years. The uniqueness of the annual survey arises from the regional nature of both content and survey implementation.

The NPHS is a longitudinal survey providing unique information about the health of Canadians. The final cycle of this survey covered the period of 2010/2011. This survey, which was performed every two years, consisted of the same individuals providing current and in-depth information on their physical and mental health status, use of health care services, physical activities, life in the workplace and social environment. It collected information related to the health of the Canadian population and related socio-demographic information. The last release will provide researchers access to nine cycles of Canadian longitudinal health data to examine the dynamics of population health from 1994/1995 to 2010/2011.

The SLCDC is a cross-sectional survey sponsored by the Public Health Agency of Canada that collects information related to the experiences of Canadians with chronic health conditions. The SLCDC takes place every two to three years, with two chronic diseases covered in each survey cycle. The objectives of the survey are to

  • assess the impact of chronic health conditions on quality of life
  • provide more information on how people manage their chronic health conditions
  • identify health behaviours that influence disease outcomes
  • identify barriers to self-management of chronic health conditions.

The last survey was performed in 2014.

The data are used extensively by the research community and other health professionals. Federal and provincial departments of health and human resources, social service agencies and other types of government agencies use the information collected from the respondents to plan, implement and evaluate programs to improve health and the efficiency of health services. Non-profit health organizations and academic researchers use the information for research on ways to improve health.

Audit objective

The objective of the audit is to provide assurance to the Chief Statistician and Statistics Canada's Departmental Audit Committee that the terms and conditions of the data-sharing agreements between Statistics Canada and Manitoba Health are met.

Scope

The scope included an examination for compliance to the terms and conditions (T&Cs) prescribed in the DSAs to ensure that confidentiality of information and the sensitive nature of the information collected are protected. The audit focused on the confidentiality and security (physical access, IT storage and transmission, physical storage, information copying and retention, and record management) safeguards at Manitoba Health to ensure that data are protected and confidentiality is maintained.

The scope of the audit included examining all third-party agreements and contracts entered into by Manitoba Health since the signing of the two new DSAs.

Approach and methodology

The audit work consisted of an examination of documents, interviews with key senior management and personnel, and a review of compliance with relevant policies and guidelines. (For details, see Appendix A: Audit criteria.)

The field work included the following:

  • a review and assessment of the processes and procedures outlined in the T&Cs of the DSAs with Manitoba Health, with emphasis on whether the security requirements are in place and complied with, and confidentiality of data is maintained
  • testing of system application controls and authentication, and access procedures
  • review of the agreement with the only third party recipient of Statistics Canada data at the time of the audit.

This audit was conducted in accordance with the Internal Auditing Standards for the Government of Canada, which includes the Institute of Internal Auditors' International Standards for the Professional Practice of Internal Auditing.

Authority

The audit was conducted under the authority of the approved Statistics Canada integrated Risk-Based Audit and Evaluation Plan 2014/15 to 2018/19.

Findings, recommendations and management response

Objective: The terms and conditions of the data-sharing agreements between Statistics Canada and Manitoba Health have been met.

Control environment for the management of the data-sharing agreements

While the employees managing the Statistics Canada data at Manitoba Health are long-term employees who understand their roles and responsibilities, these roles and responsibilities and the processes and procedures related to the management of Statistics Canada data under the data-sharing agreements (DSAs) are not documented.

The data custodian has not signed a confidentiality agreement as stipulated in Appendix C of the DSAs.

The DSAs' compliance requirements were only recently communicated to all staff involved in ensuring the confidentiality and security of the Statistics Canada data.

Authorities, responsibilities and accountabilities should be clearly defined and understood at all levels to support effective management of the terms and conditions (T&Cs) of the omnibus data-sharing agreements (DSAs). Monitoring of practices as outlined in the T&Cs of the omnibus DSAs should be in place to detect unwanted disclosures that would otherwise increase operational risk.

Authorities are defined

Statistics Canada exercises its mandate to enter into statistical DSAs with other organizations under the authority of sections 11 and 12 of the Statistics Act. The Directive on Data Sharing under sections 11 and 12 sets out the roles and responsibilities for the development, implementation and monitoring requirements of DSAs. The directive notes that Information Management Division (IMD), in consultation with Legal Services, is responsible for drafting data-sharing agreements when requested from directors of statistical programs. IMD is also required to support managers during the development of new or modified data-sharing agreements with receiving parties, pursuant to section 12 of the Statistics Act. Subject-matter divisions are responsible for communicating with recipient organizations during the negotiations and drafting the agreements.

Roles and procedures related to the management of Statistics Canada data are clearly established at Manitoba Health but need to be documented

Statistics Canada confidential information is managed by two branches within Manitoba Health—the Health Information Management (HIM) Branch and the Information Systems Branch (ISB)—as follows:

  • The executive director of HIM Branch at Manitoba Health has overall responsibility for the life cycle of Statistics Canada data. The manager of Management Information Systems, Data Management and Development, who reports to the executive director, HIM Branch, is the data custodian responsible for managing the DSAs and the Statistics Canada data.
  • The database administrator, who reports to the data custodian, performs the duties of data handling, storage, controlling access to the UNIX server where the Statistics Canada data are stored, and preparing the transmission of Statistics Canada to be sent to third parties.
  • Two senior statistical analysts reporting to the director of Analytics and Research within the HIM Branch are responsible for analyzing Statistics Canada data and sometimes providing aggregate data to other internal departments as required.
  • The ISB of Manitoba Health is responsible for the maintenance and security of the UNIX server.

HIM Branch at Manitoba Health has been a stable group for a number of years. There has not been any significant employee turnover in the functions related to the management of Statistics Canada data and employees understand their roles. However, these roles, responsibilities and procedures have not been formally documented. While this lack of documentation has not proven to be a problem to date, the audit revealed that the data custodian announced that she will retire in the coming year. Therefore, knowledge transfer and documentation of roles and responsibilities will be a key success factor before her retirement.

Responsibilities of the data custodian prescribed in the DSAs have been implemented but a confidentiality document needs to be signed

As stipulated under Appendix C of the DSAs, the data custodian is responsible for the following three key requirements:

  1. preparing a Confidentiality Document and ensuring that all individuals who will access the Statistics Canada data sign it
  2. maintaining a register of data files received from Statistics Canada
  3. maintaining a register of all individuals who have been granted access to the data files.

Appendix C stipulates that the data custodian will "prepare a document for the use of the Receiving Party's employees and contractors, outlining the T&Cs governing the use of the Information, as well as the procedures to send, receive, handle and store the Information (hereinafter the "Confidentiality Document")." Prior to granting access to Statistics Canada information, the data custodian must ensure that every employee and contractor who will access the Statistics Canada data has agreed in writing to comply with the terms of the DSAs by signing and acknowledging that they have read, understood and agree to comply with the T&Cs of the DSA as highlighted in the Confidentiality Document.

The audit revealed that a Confidentiality Document, which outlines the T&Cs governing the use of the information, exists and has been signed by all employees who have been granted access to the Statistics Canada information, with one exception: the data custodian had incorrectly assumed that certain documents signed with Statistics Canada at the time of becoming the data custodian replaced the need for a signed Confidentiality Document.

The register of data files received from Statistics Canada and the register of access granted to Statistics Canada data files have been implemented and are in use at Manitoba Health.

The DSAs' compliance requirements were only recently communicated to the relevant staff

The ISB of Manitoba Health is responsible for the maintenance and security of the UNIX server where the Statistics Canada data are stored. ISB must abide by Manitoba Health's overall security requirements for restricted information; this reduces the risk of non-compliance with the security requirements of the DSAs. The ISB employees were only recently informed of the existence of the DSAs and the security requirements stipulated therein, which could result in a potential breach of the DSAs going unnoticed.

Processes exist for activating access to the UNIX server and for sharing aggregate data with internal departments within the HIM Branch

Interviews revealed that the creation of a new UNIX account for new employees is approved by the executive director, HIM Branch, and requested from ISB by the database administrator in writing. This was not tested as there has not been a new employee requiring access to UNIX in several years. Once a new UNIX account is created by ISB, the database administrator has the capability of activating or disabling employees' access to the UNIX server. All access to the UNIX server is logged by the database administrator.

Primary users of the Statistics Canada data within the HIM Branch are two senior statistical analysts. A review of the access log for the past two years indicated that access was granted to the analysts only three times during that timeframe. The audit revealed that when the analysts request activation of their access to the UNIX server, the request is made verbally directly to the database administrator without the need for a supervisor's written authorization. Because of the close proximity of their offices, the analysts simply walk across the hall to the database administrator's office and request access. While not necessarily a requirement of the DSAs, it is prudent practice to implement more formal controls for authorizing access to the Statistics Canada data.

The purpose of the analysts' access to the Statistics Canada data on the UNIX server is to analyze and provide aggregate data internally within Manitoba Health, such as when meeting its mandate to participate in the Community Health Assessments that take place every five years. Interviews revealed that the analysts will sometimes ask a colleague or their supervisor to review the data before they send it internally via email, and the supervisor is copied on the email. However, there is no formal requirement for the analysts to obtain a supervisor's approval before the aggregate data are sent. While not a requirement of the DSAs, it would be a prudent practice to obtain a supervisor's written authorization before the distribution of aggregate data. A review of an aggregate data report provided internally indicated that there were no personal identifiers.

Manitoba Health's third party agreements include a clause for inspections or audits

Clauses with respect to monitoring are prescribed by Statistics Canada in the DSAs. The DSAs prescribe that third party agreements entered into by Manitoba Health "shall contain a clause stipulating the right of Statistics Canada or the Receiving Party to review compliance with the terms of this Agreement."

Paragraph 6.2.4 of the DSAs allows Manitoba Health to share information with the Manitoba Centre for Health Policy (MCHP) at the University of Manitoba. MCHP is not a legal entity in its own right but is a research unit of the University of Manitoba and the only third-party recipient of Statistics Canada data.

In November 2006, Manitoba Health signed a contract called "Information Sharing and Protection of Privacy Agreement" with the University of Manitoba, allowing Manitoba Health to share information with MCHP. MCHP is intended to support Manitoba Health in coordinating health research, planning, evaluation and monitoring by acting as the focus for a program of data analysis for researching, planning, monitoring and evaluating the provision of health care, emerging health issues and the broader determinants of health primarily in Manitoba.

In addition to the above contract, in October 2014, Manitoba Health and the University of Manitoba signed a letter of agreement specifically for data transfer to and use of Canadian Community Health Survey data by the MCHP. The letter of agreement requires MCHP to comply with the confidentiality and security requirements of the DSAs signed between Manitoba Health and Statistics Canada in February 2014; these requirements are attached as appendices to the letter of agreement.

The Information Sharing and Protection of Privacy Agreement between Manitoba Health and the University of Manitoba includes an audit clause that allows Manitoba Health access to MCHP's premises and the authority to inspect, review or audit MCHP's records or information, privacy practices, policies, procedures or security arrangements. However, Manitoba Health has not established a plan to exercise its right to inspect or audit MCHP's compliance.

Recommendations

The assistant chief statistician Social, Health and Labour Statistics Field, should communicate with Manitoba Health and ensure that

  • employees' roles and responsibilities as well as processes and procedures related to the management of Statistics Canada data under the DSAs are documented
  • the data custodian signs a confidentiality agreement as stipulated in Appendix C of the DSAs
  • the DSA compliance requirements are communicated to all staff involved in ensuring the confidentiality and security of the Statistics Canada data.

Management response

Management agrees with the recommendations.

  • The director of Health Statistics Division (HSD) will issue a letter and recommend that Manitoba Health document the roles and responsibilities of employees and the processes related to the management of Statistics Canada health survey information.
  • The director of HSD will request that Manitoba Health confirm in writing that the data custodian has signed the confidentially agreement.
  • The director of HSD will request that Manitoba Health communicate the DSA compliance requirements to all staff involved in ensuring the confidentiality and security of the Statistics Canada data.

    Deliverables and timeline: HSD will prepare and send a letter by September 2015. Manitoba Health will notify HSD when these actions have been completed.

Data stewardship

At Manitoba Health, processes are in place and monitored to fulfill the requirements stipulated in the data-sharing agreements. The employees understood and complied with these processes.

Management at Manitoba Health identifies and assesses the appropriateness of existing controls to effectively manage its risks, and responds to and monitors its risk exposure.

Internal protocols and controls for the sound management of data should be in place to ensure the protection and safeguarding of Statistics Canada health survey information over the full life cycle of the information.

Processes are in place and monitored to fulfill the requirements stipulated in the data-sharing agreements

The audit revealed that processes, although not formally documented, are in place at Manitoba Health to fulfill the requirements stipulated in the data-sharing agreements (DSAs), and that employees in the Health Information Management (HIM) Branch understand and comply with the processes for the receipt, storing, handling and transmission of Statistics Canada data. These are longstanding employees who are very familiar with their duties.

Data files are sent by Statistics Canada via electronic file transmission (e-FT) directly to the data custodian at Manitoba Health. The files are password protected and encrypted during transfer. Once a data file is received from Statistics Canada, the data custodian is notified that a file is in the e-FT vault and requests a password from Statistics Canada to access the file. Then the data custodian sends Statistics Canada an acknowledgement of file receipt and updates the register of all files received from Statistics Canada.

The data file is downloaded by the data custodian onto a secure network drive in a separate Statistics Canada folder designated for the HIM Branch. The database administrator accesses these files from the network folder and saves them in the UNIX database where all the Statistics Canada data are maintained. The database administrator is the only one who can activate access to the UNIX server and he or she maintains a register of all access granted to employees.

Third party sharing of Statistics Canada data

All information shared with external parties must be approved by Manitoba Health's data custodian, who physically arranges for the transmission of Statistics Canada data via encrypted CD to the Manitoba Centre for Health Policy (MCHP) of the University of Manitoba. The database administrator zips and password protects the files on an encrypted CD. The data custodian then arranges for the delivery of the CD to MCHP via bonded courier. Once the CD has been received by the contact at MCHP, he or she must contact Manitoba Health's data custodian to obtain a password to open the file.

Although under Paragraph 6.2.4 of the DSA Manitoba Health is allowed to share personal identifiers with MCHP, testing of the Canadian Community Health Survey 2012 share file sent to MCHP in 2013 (the only one shared in the past two years) revealed that there were no personal identifiers present.

A risk management process is in place at Manitoba Health to identify and monitor risks

The audit revealed that a risk management process has been implemented at Manitoba Health over the last two years. The Management Services Branch is responsible for providing the overall risk management framework to the organization and for supporting the various branches in preparing the risk management section of their annual work plans. The process entails each branch identifying its risks and the related action plans to mitigate those risks.

Each branch's executive director and reporting assistant deputy minister must sign a 'Risk Management Plan Accountability Statement to the Deputy Minister' attesting to the fact that the risk assessment performed has considered all categories of risks, appropriate action plans and mitigation strategies, and that the assistant deputy minister has been debriefed and will ensure that the branch will update its risk assessment cyclically.

Currently, Manitoba Health's risk assessment process is at the stage where each branch identifies its risks but they have not yet consolidated the risks from a corporate level standpoint. There is no risk management committee and no formal corporate risk management policy; this process is still in its early development. Management indicated that they are in the process of considering these tools and evaluating corporate-wide risks.

Management within the HIM Branch is proactive in identifying and assessing risks of non-compliance with the DSAs

The HIM Branch mitigated its risk of non-compliance with the security requirements of the DSAs by performing a thorough analysis of the updated requirements of the new omnibus DSAs and, where required, updated their internal operating procedures to ensure compliance with the terms and conditions of the DSAs. Furthermore, the HIM Branch requested that MCHP perform a similar analysis to assess whether they were also complying with the DSAs. A review of these two analyses showed how each organization met each of the security requirements of the DSAs.

Policies and ongoing training exist at Manitoba Health to mitigate exposure to risk

A key document used at Manitoba Health—one that outlines policies and procedures employees must follow under the Personal Health Information Act (PHIA)—is the PHIA Manual. This is a document of policies in use at Manitoba Health to protect sensitive personal information within the organization. For example, Policy VIII: Security of Personal Health Information lists the procedures and safeguards in place to protect personal information. Another is Policy IX: Corrective Procedures to Address Security Breaches Involving Personal Health Information, a policy on breaches. Through it, Manitoba Health, as a trustee under the PHIA, can address complaints and conduct investigations related to personal health information security breaches, in accordance with the requirements of PHIA and the Personal Health Information Regulation. The policy outlines the steps to be taken under the various types of breaches, how to proceed with a security breach investigation, and what forms to complete. If a breach occurs, a Security Breach Reporting Form needs to be completed by the branch involved and provided to the assistant deputy minister and the Legislative Unit, along with the findings of the investigation. Interviews revealed that there have not been any breaches related to Statistics Canada data.

The Legislative Unit of Manitoba Health provides guidance to the department in ensuring that it is in compliance with the many statutes for which it is responsible, including thePHIA. Mandatory PHIA training is provided to all new employees and refresher training to all existing employees every three years.

Physical and information technology security

Logical and physical access controls and procedures exist to safeguard the data in compliance with the data-sharing agreements. However, access to the Statistics Canada folder on Manitoba Health's secure network drive is not restricted only to those individuals who require access to the Statistics Canada data and who have signed confidentiality agreements.

Control and protection of information, either physically or electronically, should be executed in a manner that protects against loss, theft, compromise and improper disclosure. Access to the data should be given only to employees or contractors on a 'need-to-know' basis as part of their duties.

Logical access controls are in place at Manitoba Health

Testing of logical access controls with the database administrator revealed that a password was required to enter into the Manitoba Government network and a separate password was necessary to enter the UNIX server where the Statistics Canada data are maintained. Access to the UNIX server is restricted to a limited number of employees and access is disabled by the database administrator when staff members are not using the data. The register of user access is updated by the database administrator each time access to the data in UNIX is granted, as required under the data-sharing agreements (DSAs).

Access to the Statistics Canada shared folder in the Manitoba Health network drive should be restricted to those individuals who need access to the Statistics Canada data

When the data custodian receives a data file from Statistics Canada, the file is downloaded onto a temporary secure network drive in a designated Statistics Canada folder within the Health Information Management (HIM) Branch directory. The database administrator accesses the file from the folder and saves it in the UNIX database where all the Statistics Canada data are maintained. Once saved on the UNIX server, the database administrator deletes the data file from the folder in the network drive. Normally, the length of time between the files being placed temporarily in the network drive folder by the data custodian and their being deleted from the folder by the database administrator is no more than a day or two. During that time, however, the data portion is accessible to approximately 20 employees in the HIM Branch.

The audit testing revealed that two data files had not been deleted from the shared network folder and data were accessible to all individuals within the HIM Branch. Upon discovery during the audit, the two files were deleted from the shared folder. Access should be restricted to individuals who need to be involved with the Statistics Canada data and who have signed a confidentiality agreement.

Physical access is secure

Statistics Canada data resides in two locations at Manitoba Health—the server room within the Information Services Branch (ISB) where the UNIX server and Statistics Canada data are stored, and the HIM Branch where the data are accessed.

Physical access to the Manitoba Health premises is controlled by physical card access systems. Each secured area (ISB and HIM Branch) is protected by locked doors with card scanners. Staff must swipe their cards to enter the restricted area. Visitors must sign in at the security desk in the main lobby, obtain a visitor's card, and be escorted by authorized people at all times.

Interviews revealed that security guards are on duty weekly from 6:00 a.m. to 12:00 a.m. (18 hours) in the main lobby of the Manitoba Health building. Building security is responsible for monitoring building access and maintaining a register of all visitors. When building security is not on duty, the building is locked and only accessible to people with access cards. Access logs are reviewed by building security and there are security cameras in the hallways. In the event of employee termination, managers must follow the Checklist – Departing Staff and all access to the systems, as well as physical access to the premises, must be terminated.

The UNIX server where the Statistics Canada data are stored resides in the server room, which is accessed through the command centre. Access to these rooms is limited to approximately 30 ISB staff and sometimes to a few registered contractors and vendors. All visitors upon entry must sign a visitor log located in the command centre.

Cameras are positioned outside each of these secure locations to monitor individuals entering these areas. Alarms detect anyone breaking into these rooms and notify building security. A pass card access log to the command centre is generated and reviewed monthly by ISB's IT security officer.

Security measures exist for information copying and retention, and records management

Policy VIII of the Personal Health Information Act Manual requires that whenever sensitive data are removed from a secure environment, they must be encrypted. Furthermore, Manitoba Health's policy on Secondary Use and Disclosure Processes for Ad hoc Requests states that data can be transmitted only at aggregate levels. If quasi identifiers are present, then data must be transmitted via encrypted CD.

Statistics Canada data cannot be directly accessed or removed from the servers since the servers do not have USB ports. The server security includes multiple layers of firewall, choke routers, switchers, intrusion detectors, virus scanning and network monitoring. The UNIX server is backed up daily on encrypted tapes that are housed on site and sent off site each week, to a private storage company.

There are three levels of data security at Manitoba Health: public, internal and restricted. Statistics Canada data are classified as restricted (highest level of security). All shredding and disposal of documents is in accordance with restricted information as outlined in the Manitoba Government Electronic Media Disposal Standards and Procedures. A private shredding company is used for the secure disposal of confidential information.

Clauses for termination and return or destruction of the shared data no longer in use are included in the DSAs as well as in the agreement with the University of Manitoba's Manitoba Centre for Health Policy.

Recommendations

The assistant chief statistician Social, Health and Labour Statistics Field, should communicate with Manitoba Health and ensure that

  • access to the Statistics Canada folder on Manitoba Health's secure network drive is restricted, on a 'need-to-know' basis, to employees who have signed a confidentiality agreement in compliance with the terms and conditions of the DSAs.

Management response

Management agrees with the recommendation.

  • The director of Health Statistics Division (HSD) will remind Manitoba Health of this requirement and request that they take immediate action to ensure that access to Statistics Canada data is restricted.

    Deliverables and timeline: HSD will prepare and send a letter by September 2015. Manitoba Health will notify HSD when this action has been completed.

Appendices

Appendix A: Audit criteria

Appendix A: Audit criteria
Control objective, core controls and criteria Sub-Criteria Policy Instrument
The terms and conditions of the data-sharing agreements (DSAs) between Statistics Canada and Manitoba Health are met.
1.1 Authorities, responsibilities and accountabilities are defined and communicated, and the segregation of duties is appropriately established. 1.1.1 Responsibilities are formally defined and clearly communicated.
1.1.2 Authority is formally delegated and delegated authority is aligned with individuals' responsibilities. Where applicable, incompatible functions are not combined.
Statistics Act

The Companion Guide to the Statistics Act

Statistics Canada – Directive on Data Sharing under sections 11 and 12

Statistics Canada – Policy on Official Release

Statistics Canada – Security Practices Manual

Statistics Canada – Policy on the Security of Sensitive Statistical Information

Statistics Canada – Policy on Privacy Impact Assessments

Statistics Canada – Policy on Informing Survey Respondents

Statistics Canada – Policy on Microdata Release

Statistics Canada – Policy on Discretionary Disclosure and associated guidelines

Treasury Board Secretariat (TBS) – Government Policy on Security

TBS – Standard on Physical Security

TBS – Directive on Departmental Security Management

TBS – Core Management Controls

Omnibus DSAs between Statistics Canada and Manitoba Health
1.2 Manitoba Health has established an appropriate framework to manage the requirements set out in the DSAs. 1.2.1 Processes are in place to fulfill the requirements set out in the DSAs.
1.2.2 Processes are understood and are complied with.
1.2.3 Compliance with processes is monitored.
2.1 Management at Manitoba Health identifies and assesses the appropriateness of existing controls to effectively manage its risks, and responds to the risks that may preclude the achievement of its objectives. 2.1.1 Risks are identified.
2.1.2 Formal processes and guidelines exist to assess the effectiveness of controls in place to manage identified risks.
2.1.3 Management formally responds to and monitors its risk exposure.
3.1 Assets are protected at Manitoba Health. 3.1.1 Access to data is limited to authorized individuals and is appropriately secured in compliance with the DSAs.
3.1.2 Access is physically
restricted.
3.1.3 Procedures exist to safeguard the shared data upon termination of an agreement.
3.1.4 Procedures exist to protect the use of data from abuse or fraud.
3.2 Appropriate system application controls exist at Manitoba Health. 3.2.1 Logical access controls exist to ensure that access to systems and data is restricted to authorized users, e.g., systems require users to log on using unique user names and passwords.
3.2.2 Authentication and access procedures and mechanisms exist, and are applied, to keep authentication and access mechanisms effective.
4.1 Management monitors actual performance against planned results and adjusts course as needed to better address the requirements and needs of the program. 4.1.1 Responsibility for monitoring is clear and communicated; results are reported to required authority levels.
4.1.2 Active monitoring is demonstrated.

Appendix B: Acronyms

Appendix B: List of acronyms
Acronym Description
CCHS Canadian Community Health Survey
DSA Data-sharing agreement
e-FT Electronic file transmission
HIM Health Information Management Branch
HSD Health Statistics Division
IMD Information Management Division
ISB Information Services Branch
IT Information technology
MCHP Manitoba Centre for Health Policy
NPHS National Population Health Survey
PHIA Personal Health Information Act
TBS Treasury Board Secretariat
T&Cs Terms and conditions
SLCDC Survey on Living with Chronic Diseases in Canada

Audit of Official Release

March 24, 2015
Project Number: 80590-87

Executive Summary

Statistics Canada's Official Release is disseminated through the Daily. The Daily issues news releases on current social and economic conditions and announces new products. It provides a comprehensive one-stop overview of new information available from Statistics Canada. Statistics Canada has been using the Daily as the Official Release vehicle since 1932.

Access to the Daily is provided on the Statistics Canada website at 8:30 a.m. Eastern time each business day. This ensures that Canadian's receive equitable and timely access to all new Statistics Canada information. When advance release of information is required, the Statistics Canada's Policy on Official Release outlines the conditions that must be met.

The objectives of the audit were to provide the Chief Statistician (CS) and the Departmental Audit Committee (DAC) with assurance that:

  • Statistics Canada has adequate governance structures and a risk management framework in support of the Official Release.
  • Effective control mechanisms have been established and are consistently applied to ensure that the advance release of Agency products is compliant with the Policy on Official Release and other applicable Statistics Canada policies and directives.

The audit was conducted by Internal Audit Division in accordance with the Government of Canada's Policy on Internal Audit.

Key Findings

Roles, responsibilities and accountabilities for Official Release are formally defined through internal procedural documentation and communicated to employees. Appropriate and effective oversight bodies for Official Release have been established. The Electronic File Transfer Governance Steering Committee is in place and operational, but it does not have a formal mandate outlining roles and responsibilities, which may reduce the effectiveness of the intended oversight of this committee.

The Official Release process encompasses activities in several divisions as well as outside organizations. The risk management framework currently used throughout the Agency does not compel managers to consider risk inter-dependencies, nor provide an integrated lens to risk management which could limit the effectiveness of potential mitigation strategies.

Official Release includes a process for external parties to formally acknowledge their responsibilities as they relate to sensitive statistical information. This process needs to be strengthened to be fully effective and reduce the risk to the protection of sensitive statistical information.

The media lock-up room is secure. Its operating procedures, combined with the physical security features of the room, are effective and ensure the protection of information.

Individuals designated as media spokespersons for information releases have not all followed the mandatory media training. As a result, there is an increased risk that employees will not understand their roles and responsibilities with respect to being an official spokesperson for the Agency.

Access privileges on internal shared drives which contain pre-release information are restricted, but not regularly updated when employees leave a division or program.

The manual controls that have been developed combined with the daily monitoring of the transfer of Official Release information between secure networks are effective mechanism to address IT malfunctions and minimize delays of the official release materials.

Contracting practices for the procurement of translation services require strengthening. The audit found significant weaknesses with the current controls in place and identified several instances of non-compliance, which considerably increases the risk to the confidentiality of sensitive statistical information.

Overall Conclusion

Statistics Canada has established adequate governance and risk management frameworks, which are aligned to support Official Release activities. The effectiveness of these frameworks could be improved by formalizing the mandate of the Electronic File Transfer (EFT) Governance Steering Committee and compelling managers to consider risk inter-dependencies through the risk management framework.

Certain controls in place to protect advance release information provided to external organizations need to be strengthened to ensure that all the requirements related to the Policy on Official Release are understood. More specifically, all advance release recipients should have valid Acknowledgements of Confidentiality.

Control activities within Statistics Canada to ensure the confidentiality of pre-release information are effective. There are opportunities for improvement in the areas of updating of access permissions and media training. The management of procurement activities for translation services must be strengthened to ensure compliance to relevant Government of Canada policies and to ensure the protection of sensitive statistical information.

Conformance with Professional Standards

The audit was conducted in accordance with the Internal Auditing Standards for the Government of Canada, which includes the Institute of Internal Auditors (IIA) and the International Standards for the Professional Practice of Internal Auditing.

Sufficient and appropriate audit procedures have been conducted and evidence gathered to support the accuracy of the findings and conclusions in this report and to provide an audit level of assurance. The findings and conclusions are based on a comparison of the conditions, as they existed at the time, against pre-established audit criteria. The findings and conclusions are applicable to the entity examined and for the scope and time period covered by the audit.

Patrice Prud'homme
Chief Audit Executive

Introduction

Background

Statistics Canada, as the national statistical agency, is required to "collect, compile, analyse, abstract and publish" statistical information on Canada's economy and society that is fundamental to support evidence based decision-making and inform debate.

The Daily is Statistics Canada's official release vehicle and supports the mandate to publish statistical information on Canada. Official Release (OR) is governed under the Policy on Official Release at Statistics Canada. Under this Policy, every new cycle of every statistical program, whether based on surveys or administrative data, whether funded through estimates or cost recovery, must be released in The Daily before it can be disseminated to the public. Until Official Release, the dataset or product has "Protected" status as defined by the Government Security Policy. The minimum requirement for OR is a statement in The Daily that a dataset is available. This practice ensures that all potential users have access to statistical program results and products at the same time. It creates a level playing field that reinforces the Agency's reputation for neutrality.

Under the Policy on Official Release, there are certain circumstances in which Statistics Canada can release information to external parties in advance of OR in The Daily. These circumstances occur when:

  • Federal officials have advance access to a small number of key releases to prepare appropriate responses for ministers, given that ministerial comment can have repercussions on markets.
  • Work-in-progress datasets, analytical products and information products may be provided in advance of OR to designated individuals of external organizations for the purposes of data validation.
  • Analytical products may be provided in advance of OR to an individual or external organization for the purpose of institutional and peer review.
  • Microdata files or confidential aggregates from which datasets are obtained may be shared with a third party prior to the OR.
  • Advance release (AR) for information applies to collaborative programs (cost-recovery programs, administrative data files and common governance structure).
  • The Chief Statistician may authorize dissemination of information in advance of release in special circumstances in which the benefits justify the exception.

Oversight of the application of the Policy on Official Release falls under the responsibility of Communications Division within the Agency. Directors of program areas are responsible for ensuring that protected information is securely transmitted when provided outside the agency and that it is covered by an acknowledgement of confidentiality requiring the receiving organization to comply with requirements described in the Policy. Additionally,outside organizations that receive AR information must acknowledge receipt of the protected information they receive, safeguard the information, limit access and must destroy all protected information once the review has been completed.

Audit Objectives

The objectives of the audit were to provide the Chief Statistician (CS) and the Departmental Audit Committee (DAC) with assurance that:

  • Statistics Canada has adequate governance structures and a risk management framework in support of the Official Release.
  • Effective control mechanisms have been established and are consistently applied to ensure that the advance release of Agency products is compliant with the Policy on Official Release and other applicable Statistics Canada policies and directives.

Scope

The scope of this audit included an examination of the adequacy and effectiveness of the controls for OR. Specific areas that were examined include:

  • Governance and monitoring practices that support clear accountability, oversight, scrutiny and challenge functions;
  • Effective risk management processes for the identification of the key risks for OR, as well as the development and monitoring of risk management strategies; and
  • Operational processes and controls in place to ensure the confidentiality and integrity of sensitive statistical information in the advance release of information.

The scope of the audit work included an assessment of AR activities from January 1, 2013 to July 1, 2014.

Approach and Methodology

The audit work consisted of a comprehensive review and analysis of relevant documentation, interviews with key management and staff and a review for compliance with relevant policies and guidelines.

The field work included a review and testing of the OR processes and procedures in place to ensure the protection of sensitive statistical information until dissemination of the information in The Daily.

This audit was conducted in accordance with the Internal Auditing Standards for the Government of Canada, which includes the Institute of Internal Auditors (IIA) International Professional Practices Framework.

Authority

This audit was conducted under the authority of the approved Statistics Canada Integrated Risk-Based Audit and Evaluation Plan 2013/14 to 2017/18.

Findings, Recommendations and Management Response

Objective 1: Statistics Canada has adequate governance structures and a risk management framework in support of the Official Release.

Governance and Risk Management

Roles, responsibilities and accountabilities for Official Release are formally defined through internal procedural documentation and communicated to employees. Appropriate and effective oversight bodies for Official Release have been established. The Electronic File Transfer Governance Steering Committee is in place and operational, but it does not have a formal mandate outlining roles and responsibilities, which may reduce the effectiveness of the intended oversight of this committee.

The Official Release process encompasses activities in several divisions as well as outside organizations. The risk management framework currently used throughout the Agency does not compel managers to consider risk inter-dependencies, nor provide an integrated lens to risk management which could limit the effectiveness of potential mitigation strategies.

A robust governance and risk management framework is essential to ensure that Official Release materials are adequately protected, both internally to Statistics Canada and when information is transmitted to third parties. Roles, responsibilities and accountabilities for Official Release should be clear, communicated and understood. Appropriate and effective oversight bodies should be established and their roles and responsibilities formalized. Employees should understand their obligations under the Values and Ethics code; it should be easily accessible and explain how to proceed should any potential wrongdoing be observed.

Roles, responsibilities and accountabilities for staff working on OR are defined and communicated.

One of the expected results of the Policy on Official Release is that governance structures, mechanisms and resources are in place to ensure the continuous and effective management of Statistics Canada pre-release information. Oversight of the application of the Policy on Official Release falls under the responsibility of Communications Division within the Agency. As per the Policy, Directors of program areas are responsible for ensuring that protected information is securely transmitted when provided outside the agency and that it is covered by an acknowledgement of confidentiality requiring the receiving organization to comply with requirements described in the Policy.

The audit examined several job descriptions and procedures documents and found that these adequately outlined the various tasks associated with the preparation of OR materials.

Oversight bodies have clearly defined mandates to govern the OR process.

The Editorial Board of The Daily is responsible for overseeing The Daily editorial and guides The Daily team on strategic and operational issues related to The Daily. A review of meeting minutes and interviews with staff indicated that the Editorial Board was fulfilling its mandate as a forum to ensure a coherent and uniform approach to writing and publishing ORs. Moreover, review of the mandate and minutes revealed that  the Board helps serve as an oversight function, given that the content and the format of The Daily has greatly evolved over the past few years. The audit found that the Communications Division has a step-by-step 'Process Flow for Daily Releases', which helps the Subject Matter Divisions (SMDs) understand the steps to follow and approvals required when writing a release for their division.

The EFT Governance Steering Committee (EFT-DGC) was established to comply with the requirements stated in the Directive on the Transmission of Protected Information. Interviews with members of the committee noted that they serve as a second level of review to ensure that a request was placed for the creation of an EFT safe-box, but that the key control remains with the SMDs, which retain responsibility for ensuring that all requirements are met when providing AR information to third parties as per the Policy on Official Release. The audit determined that although the EFT-DGC is in place and operational, a formal mandate and membership list have not been developed, nor does it post minutes of its meetings. Without a formal mandate, the effectiveness of the intended oversight may be reduced.

The Corporate Risk Management framework requires updating.

Management at Statistics Canada is required to periodically identify and assess risks to their division and this is done through the annual risk register exercise. Communications Division has identified risks associated with OR in its risk register. The risk register also notes that the protection of pre-release information is critical, and that access to pre-release information should be restricted throughout the process and that management periodically conducts compliance checks within the Communications Division to ensure that access is restricted.

The audit noted that with respect to OR, subject matter divisional risk registers examined were not detailed enough to capture specific risks to OR. Similarly, corresponding SMD's divisional Business Continuity Plans assessed were at too high a level to address specific risks to OR objectives, and did not provide guidance on action plans should risks to OR occur.

During audit interviews, a number of risks were identified informally by staff at both the management and operational levels within SMDs. Risks identified included: the risk posed to the timeliness of OR when working with tight timelines and small teams; the risk that last minute changes to The Daily text may change the meaning of the release or may not be captured appropriately when translated into the second official language; the risk of the unauthorized release of information before the OR; and the risk posed by outdated access rights within divisions.

The audit found that the Official Release process encompasses activities in several divisions as well as outside organizations. The risk management framework currently used throughout the Agency does not compel managers to consider risk inter-dependencies, nor provide an integrated lens to risk management. As a result, significant risks noted by SMDs are not considered in the Communications Division risk register, therefore possibly limiting the effectiveness of potential mitigation strategies.

Recommendations:

It is recommended that the Assistant Chief Statistician of Census, Operations and Communications ensures that:

  • A formalized mandate, and membership list is put in place that includes the roles and responsibilities of the EFT Dissemination Governance Committee.

Management Response:

Management agrees with the recommendation.

  • The Director, Dissemination Division will develop a formalized document including mandate, membership and roles and responsibilities for the EFT Dissemination Committee.

    Deliverables and Timeline: A formalized document including mandate, membership and roles and responsibilities for the EFT Dissemination Committee by June 2015.

It is recommended that the Corporate Risk Officer ensure that:

  • The Corporate Risk Management framework is updated to enable the integration of risks inter-dependencies across departmental divisions.

Management Response:

Management agrees with the recommendation.

  • The risk registry and corporate risk profile have been conducted annually and have evolved with improvements year over year. The Corporate Risk Officer will undertake a review of current business processes to more efficiently and effectively capture operational and strategic risks. This review will lead to an improved risk framework and introduce more rigor during the development of the risk registry, including the identification of interdependencies that impact outcomes.

    Deliverables and Timeline: A documented business process for the integrated risk management framework; the development of a risk framework and risk registry; and tools to support the development of the risk registry will be developed by March 2016.

Objective 2: Effective control mechanisms have been established and are consistently applied to ensure that the Advance Release of the Agency products is compliant with the Policy on Official Release and other applicable Statistics Canada policies and directives.

Control in place to protect advance release information provided to external organizations

The Official Release process includes a process for external parties to formally acknowledge their responsibilities as they relate to sensitive statistical information. This process needs to be strengthened to be fully effective and reduce the risk to the protection of sensitive statistical information.

The media lock-up room is secure. Its operating procedures, combined with the physical security features of the room, are effective and ensure the protection of information

Effective control activities include IT security practices and other activities that effectively manage third parties, prescribe how associated tasks should be performed, prohibit inappropriate action, and provide the limit of acceptable action that third parties should clearly understand and follow.

The system used to ensure that advance release information is protected and sent only to authorized external parties requires improvement.

Under the Policy on Official Release, all new Statistics Canada datasets, analytical and information products are released through The Daily, which is the OR vehicle for the Agency. The Policy notes that there are 5 conditions that allow information to be disseminated prior to OR. The conditions under which AR is permitted are:

  • Authorization by the Clerk of the Privy Council on the advice of the Chief Statistician;
  • Authorization by the Chief Statistician;
  • Work-in-progress agreements (for data validation purposes);
  • AR for information purposesFootnote 1 (cost recovery and administrative data back to the source organization); and
  • Common Governance.

To obtain an authorization by the Clerk of the Privy Council for an AR, a letter is sent from the Chief Statistician to the Clerk, requesting authorization for a department. The Clerk of the Privy Council sends a letter back to Statistics Canada, authorizing ARs under this condition. As at June 2014, there were 6 federal departments or agencies that had authorization by the Clerk of the Privy Council for AR for the various mission critical surveys and major economic indicators.

There were no AR arrangements in place under authorization of the Chief Statistician.

The majority of ARs fall under the category of work-in-progress (91 submissions) and AR for information purposes (47 submissions). In all cases, except Common Governance (8 submissions), when organizations request AR of information, requests must be approved by the SMDs as well as the Director General of Communications Division.

A Common Governance Structure Recognition Submission form must be prepared for a formal collaborative program that has been designated by the Executive Management Board in a recognized common governance structure with partner organizations. For the audit period there were 8 common governance recognitions in place.

The Policy requires that for approved AR submissions, external partners must acknowledge their responsibilities. For this purpose, the Acknowledgement of Confidentiality (AoC) forms have been created for recipients to sign. The terms in these forms are:

  • acknowledging receipt of the information
  • safeguarding the confidentiality of the protected release information provided to them
  • limiting access to the protected information to those designated officials within their organizations for work-related purposes (respecting the 'need-to-know')
  • undertaking not to further disseminate the protected release information
  • destroying the protected information once the review is completed, prior to official release.

Additionally, the Policy notes that when AR is used to brief a Minister, the briefing cannot take place prior to 5 pm EST on the business day preceding the day on which the information will be published in The Daily.

For ARs under the conditions of information purposes and work-in-progress agreements, new AoCs must be signed every 15 months. The audit was advised by staff in Communications Division that there is no renewal requirement for AR under Authorization of the Clerk or for Common Governance. The audit noted that the terms in the AoCs have changed over time. As a result, if there is no requirement for a renewal of AoCs with recipients, should respondent responsibilities on AoCs change (i.e. AoC terms are changed), recipients will not have acknowledged these new responsibilities, and will not have been periodically reminded of their responsibilities for the protection of sensitive statistical information.

The Policy notes that Communications Division is responsible for keeping a registry of all ARs and to periodically collect information on the results and benefits of previously approved ARs from program managers in the organization. This is to ensure continuous and effective management of Statistics Canada's advance release information as required in the Policy. CommunicationsDivision also keeps copies of signed AoCs.

The audit examined the AR registries in place in Communications Division for 2012-13 and 2013-14 and found that a registry was in place for all AR conditions except for AR under authorization of the Clerk of the Privy Council.

While the Office of the Chief Statistician had a list of all departments receiving information under Authorization of the Clerk, Communications Division did not have a registry in place for advance releases under authorization of the Clerk of the Privy Council as required by the Policy. As a result, the management of AR under this condition is not fully effective. The audit noted in the two major indicators sampled, in one case, incorrect forms were signed and not all those designated to receive the information had signed AoCs. For one SMD who provided AR information under authorization of the Clerk of the Privy Council, no AoCs were in place at all (Table 1).

The Policy on Official Release requires that the results and benefits of previously approved advance releases are documented to ensure that there is a demonstrable benefit to allowing outside organizations to have advance release materials. The Policy also requires that Communications Division periodically collect this information from subject matter divisions. The audit noted that subject matter divisions contacted do not document this information and Communications Division does not collect this information. In the absence of documented evidence of the benefits of allowing protected information to be accessed in advance of official release, the organization may not be able to adequately complete the risk/reward exercise and could lead to unnecessarily providing advance releases with little or no benefit to the organization.

During the annual update of the advance release registries, Communications Division undertakes an exercise in which subject matter divisions provide a justification for continued advance release under common governance, Work In Progress (WIP), and advance release for information purposes. The audit noted that these justifications are at a high level and included rationales such as: recipient is a partner; recipient provides validation; provided for information purposes. Justifications are high level and generic in nature, and do not provide enough information to prove a demonstrable benefit.

The audit tested AR submissions and the corresponding AoCs under each of these conditions for the period of January 1, 2013 to July 1, 2014. As a result, 13 of the 14 AR submissions tested under the 4 conditions where the audit found AoCs, SMDs had recipients sign the correct forms.  The audit also tested to determine if all submissions under work-in-progress, information purposes and common governance had the required signed Acknowledgements of Confidentiality in place (Table 1). Overall testing results revealed that some of the AoCs were not in place. More specifically, under each advance release condition, audit testing found:

  •  Work-In-Progress agreements - Of the 5 WIP submissions sampled, 4 submissions had the required number of Acknowledgements of Confidentiality in place.
  •  Advance release for information purposes, 4 of the 4 submissions sampled had all of the required Acknowledgements of Confidentiality on file.
  • Common Governance – 2 of the 2 submissions sampled had all of the required Acknowledgments of Confidentiality in place.
  • Advance release Under Authorization of the Clerk, of the 2 submissions sampled, neither used the correct AR submission forms, and one had the required number Acknowledgements of Confidentiality in place.
Table 1 - Acknowledgements of Confidentiality
Advance Release Submission Type Total Sampled Appropriate approvals for AR Submission sampled Correct AR Submission Forms were used AR Submission has all AoCs in place Expected total number of AoCs as per sample Actual Number of AoCs on file as per sample
WIP 91 5 5 5 4 50 48
Information 47 5 5 4 4 35 35
Common Governance 8 2 2 2 2 42 42
Under Authorization of the Clerk Footnote *6 2 2 0 1 17 10

Further, the audit noted in 2 of the signed AoCs in place, the AR recipients had changed the terms on the acknowledgements without approval from Communications Division.

While there is a process in place for external parties to formally acknowledge their responsibilities as they relate to sensitive statistical information, the current process is not fully effective which may increase the risk to the protection of sensitive statistical information.

The media lock-up room is secure

When there is a major economic, Census or National Household Survey release, journalists holding a valid Parliamentary Press Gallery Pass may attend a media lock-up. The Media lock-up provides an environment where journalists can access OR materials approximately one hour in advance of the official release to prepare an article.

The media lock-up room was last renovated in September 2013 and the room is protected against all wireless or radio-frequency communications. Additionally, except for the telephone on the Media Relations staff monitoring desk, all other landlines are  disabled during lockup. During a media-lockup, the room is locked from the start of lock-up (usually 7:30 am) until the official release time of 8:30 am. When in lock-up mode and the door to the room is closed, no communication with external parties is permitted until release time.  Journalists are required to turn in all cell phones which are placed in a secure lead box. During the lock-up period, journalists receive a copy of the OR material after the room has been secured and prepare their articles. At exactly 8:30 am (synchronized with the standard time of the National Research Council), the lock-up room is unsecured and journalists are able to submit their articles for publication.

The audit tested the media lock-up room and its operating procedures and found that the security features of the room are effective and ensure the protection of information.

Recommendations:

It is recommended that the Assistant Chief Statistician of Census, Operations and Communications ensures that:

  • Communications Division works with SMDs to enhance the registry for Advance Release Submissions to enable effective management of submissions and ensure AR materials are limited to authorized individuals only.
  • All Advance Releases should be managed by a single authority (i.e. Communications Division), and requirements for Acknowledgements for Confidentiality should be made uniform to ensure that periodic updates to Acknowledgments of Confidentiality take place which would ensure confirmation of recipients understanding and their responsibilities with respect to protection of protected information.
  • There is a demonstrable benefit associated with Advance Releases for Work in Progress (WIP) purposes and they should be documented by SMDs and collected by Communications Division.

Management response:

Management agrees with the recommendations.

  • The Director General, Communications will work with the Directors of Subject-matter Divisions to confirm the accuracy of the information in the registers, collect signed copies of acknowledgement of confidentiality for all advance release agreements and add them to Statistics Canada's register of advance release and common governance agreements.

Deliverables and Timeline: An enhanced and accurate registry for Advance Release Submissions by June 2015.

  • The Director General, Communications will ensure that a register for the Advance Releases authorized by the Clerk of the Privy Council is established and maintained by the Communications Division.

    Deliverables and Timeline: A register for Advance Releases authorized by the Clerk of the Privy Council maintained by Communications Division by June 2015.
  • The Director General, Communications will ensure that the Policy on Official Release is modified to specify periodic updates for the Acknowledgements of Confidentiality for the Advance Releases authorized by the Clerk of the Privy Council and for Common Governance Structure agreements. The forms "Acknowledgement of Confidentiality for Advance Releases authorized by the Clerk of the Privy Council" and "Acknowledgment of Confidentiality for Common Governance" will be modified accordingly.

    Deliverables and Timeline: A modified Policy on Official Release by June 2015.
  • The Director General, Communications will ensure that the Communications Division works with Subject Matter Divisions to ensure that the benefits associated with Work-in-progress agreements (advance release for validation purposes) are stated specifically in the register.

    Deliverables and Timeline: Documentation of the benefits of WIPS, with greater specificity in the register by June 2015.

Controls within Statistics Canada to ensure the confidentiality of pre-release information

Access privileges on internal shared drives which contain pre-release information are restricted, but not regularly updated when employees leave a division or program.

Individuals designated as media spokespersons for information releases have not all followed the mandatory media training. As a result, there is an increased risk that employees will not understand their roles and responsibilities with respect to being an official spokesperson for the Agency.

The manual controls that have been developed combined with the daily monitoring of the transfer of Official Release information between secure networks are effective mechanism to address IT malfunctions and minimize delays of the official release materials.

Contracting practices for the procurement of translation services require strengthening. The audit found significant weaknesses with the current controls in place and identified several instances of non-compliance, which considerably increases the risk to the confidentiality of sensitive statistical information.

Effective control mechanisms and processes support the organization in the management of risks and the achievement of the established objectives by ensuring that assets are safeguarded and that actions and decisions of the organization are in compliance with applicable laws, policies and directives.

Access privileges to shared folders require regular updating.

The Directive on the Security of Sensitive Statistical Information and the Security Practices Manual note that Statistics Canada considers all sensitive statistical information under its care and control as Protected B. As such, this information should be controlled to protect against loss, theft, compromise or improper disclosure. Within Statistics Canada, this information may only be circulated to individuals on a need-to-know basis.

Subject Matter Divisions noted that all protected information is housed on secure shared drives. Shared drives are on secure Network A and access to these drives is restricted on a need-to-know basis. The audit confirmed that when a review of information is to take place, a hyperlink to the information is circulated via an email, and that electronic versions of the information are not sent.

The audit examined file folders and the associated permissions for the pre-release information for the Labour Force Survey (LFS), Monthly Retail Trade Survey (MRTS) and Communications Division to determine if file access is restricted to only those with a need to know. Although access was found to be restricted in the prerelease folders, the audit found that permissions were not regularly updated and that in both SMDs pre-release folders examined, some individuals with permission to these folders were no longer working in the division.

The Smart Daily application allows Subject Matter Divisions to load pre-release Daily texts into an application which formats the official release materials. All SMDs which have Official Releases use this application; however access is to be restricted to authorized users only within divisions. Communications Division manages the access and permissions for this application.  The audit examined the Smart Daily application to ensure that SMD employees who are authorized to use the Smart Daily application have access to only their own materials and that pre-release information from other areas is restricted. The audit found that employees in Communications Division limit access and users can only access their own information and cannot view information from other programs or divisions.

Media spokespersons for information releases have not all followed the mandatory media training.

Prior to speaking to the media, individuals designated to be media spokespersons are to have taken the "Encountering the Media" course. This training is designed to help Statistics Canada staff to be prepared for media requests and ensure that spokespersons understand their responsibilities when designated as media spokespersons.

The Agency has adopted a policy to accept media requests for interviews and to provide comments on program issues and data interpretation, and for each OR, will designate certain individuals within SMDs as media spokespersons or information contacts. According to both the Policy on Official Release and the Policy on Media Relations: Spokespersons and Response to the Media, Communications Division is responsible for providing media training to information contacts for OR purposes and directors in SMDs must ensure identified spokespersons have taken the required training.

A training and development plan exists for the handling and management of the media; however the audit took a sample of 25 individuals who were named as media spokespersons over the audit period and found that 28% of them had not completed the required media training. Interviews with Communications employees who provide the training noted that refresher courses and mock interviews can be arranged with Communications Division on an ad-hoc basis, but that these informal courses are not considered as a substitute for the formal course.

When media spokespersons have not taken the required formal media training there is an increased risk that employees will not understand their roles and responsibilities with respect to being an official spokesperson for the Agency.

Monitoring the transfer of information from the secure network to the public network ensures IT malfunctions are dealt with in a timely manner.

The IT infrastructure that is used to prepare and package OR materials is under the responsibility of Shared Services Canada. At the same time, Statistics Canada staff are responsible for ensuring that the OR materials (the Daily) are disseminated at the OR time of 8:30 am EST (Eastern Standard Time). Because the IT infrastructure is no longer under Statistics Canada control, staff from Administrative and Dissemination Systems Division (ADSD) monitor the release process on each release day beginning at 7:00 am until OR at 8:30 am.

The IT environment is complex, given that there are several servers and the movement of information is time-sensitive. Additionally, some servers move information in and out of the protected zone into the Public Access Zone, which is where information becomes available to the public at the OR time of 8:30 a.m.

ADSD staff has developed a series of protocols and automated notifications at each movement of data to ensure that staff is made aware of any malfunctions in the process and to advise them of where the malfunction took place. The protocol also notes at each step what manual intervention must be activated in the event of an IT malfunction. These protocols are evergreen and are updated when there are changes to the IT infrastructure.

ADSD maintains a schedule of employees who are responsible for ensuring that adequate monitoring always takes place. Additionally, the chief responsible for monitoring the movement of information noted that there are always 2 individuals on site. It was noted that this is an important control. Should a malfunction occur, one individual can focus on initiating the manual controls and the other employee can ensure the communication of the issue with management, subject matter and Shared Services staff.

The audit observed the monitoring of transfer of information and found that the process is followed as outlined in the protocol, the automated notifications are generated as described and the ADSD monitor validates that the correct information has been transferred which is an effective method to mitigate the risks of an IT malfunction.

Contracting practices for the procurement of translation services require strengthening.

All official release materials are disseminated in both official languages. Statistics Canada outsources translation services to professional translators. Government of Canada security and contracting policies require that when protected information is accessed by external parties, several security measures are required. This includes ensuring that the individuals accessing protected information have the appropriate security clearance and that the facility and document safeguarding capabilities correspond to the level of security of the information received. As part of the procurement process, departments send the Security Requirement Checklist (SRCLs) to Public Works and Government Services Canada (PWGSC) for confirmation. SRCLs outline the classification of the information to be handled and PWGSC confirms whether the proposed contractor holds the appropriate security clearances commensurate with the level of security of the information to be accessed. PWGSC also conducts the document and facility security inspections of facilities that will be handling Government of Canada protected information.  Additionally, the Government of Canada Policy on Contracting notes that, "the government security policy is to be applied equally to procurement contracts as it is to internal operations."

The audit examined translation contracts to determine if the appropriate security requirements were included and that the contractors had the appropriate security clearances in place. Testing found 28% of translation contracts sampled (10 of 36) did not include security requirements. Given this, no protected or secret information should be sent out for translation under these contracts. The audit noted that in 66% (6 of 9) of sub-sampled contracts that did not contain security requirements, protected information had been provided to contractors who did not have the appropriate facility and document safeguarding or, in some cases, a personal security clearance.

Project authorities are responsible for establishing terms & conditions within contracts, including SRCLs when applicable. Interviews with the contracting authority and departmental security noted that they do not provide a challenge function to project authorities on the necessity of including security requirements in contracts.

The audit found several other contracting weaknesses and inconsistencies. Certain, but not all, translation contracts require that individuals having access to protected information sign an acknowledgement of values and ethics and the Oath of Secrecy. There was no evidence of any of these in any of the contracts sampled. For some translation contracts, the project authority noted that contractors must sign a "security statement" in lieu of having security clearances. The "security statement" document was developed internally at Statistics Canada, with the collaboration of departmental security, as a means to compensate for the absence of security requirements in certain contracts. There was no evidence of any of these in any of the contracts sampled.

The audit found significant control weaknesses for the procurement of translation services and identified several instances of non-compliance, which considerably increases the risk to the confidentiality of sensitive statistical information.

Recommendations:

It is recommended that the Assistant Chief Statistician of Census, Operations and Communications ensures that:

  • Prior to release, subject matter divisions and media relations staff verify that media contacts listed for Official Release have been provided with Media Training and are aware of their roles and responsibilities under the Policy on Media Relations: Spokespersons and Response to the Media.
  • Contracts issued for the procurement of translation services include security requirements commensurate with the level of security of the information that will be accessed by contractors.

Management agrees with the recommendations.

Management response:

  • The Director General, Communications, in collaboration with Directors of subject-matter divisions will ensure that all spokespersons take formal media training prior to speaking to media. This is accomplished with:
    • Quarterly emails to directors by the Director General, Communications, with follow-ups as required;
    • Media training sessions provided by Communications Division throughout the year;
    • Support for mandatory training confirmed by the Learning and Development Committee.
    In cases where a spokesperson does not take the required training, the Director of the subject-matter division will act as the spokesperson.

    Deliverables and Timeline: All spokespersons have taken formal media training prior to speaking to media by July 2015.
  • Management agrees with the recommendation and acknowledges that the security clearance of some of its translation service providers was issued by departmental security and not by PWGSC as it should have been. Although this was a lapse in procedures, the audit did not identify any specific case where the information that had been sent for translation was used inappropriately.

    Upon being informed of the situation, two mechanisms were established to remedy the situation:
    • Protected B documents are sent to suppliers who have the required security clearance;
    • Within Communications Division, a process to confirm the security clearance of service providers has been established.
    The Requests for Proposals (RFP) to select suppliers for 2015-16 will include the proper security requirements. The required security clauses (received from PWGSC) will be included in all contracts.

    Deliverables and Timeline: Implementation of mechanisms to ensure translation service providers have the required security clearances was implemented on December 5th, 2014 and RFPs to select suppliers for 2015-16 will include the proper security requirements by April 2015.

It is recommended that the Assistant Chief Statistician of Corporate Services (and CFO) ensure that:

  • Access privileges to shared folders containing protected information are regularly updated to ensure only those with a need-to-know requirement can access information.

Management response:

  • Management agrees with the recommendation.

    A reminder stressing the importance and necessity to review and update access privileges to shared folders containing protected information will be circulated by the Chief Information Officer (CIO) to all executives. Options to automate the management of access privileges will also be explored.

    Deliverables and Timeline: A generic reminder will be circulated by the CIO annually, effective immediately. A working group, in conjunction with the Administrative Processes Review and Automation (APRA) project, will be set-up to explore options to automate the management of access privileges. A recommendation will be presented to the Information Management Committee by September 2015.

Appendices

Appendix A: Audit criteria

Appendix A: Audit criteria
Control Objective / Core Controls / Criteria Sub-Criteria Policy Instrument
1) Statistics Canada has appropriate governance structures and risk management framework in support of the Official Release (OR).
1.1 Roles, responsibilities and accountabilities for official release (OR) are clear, communicated and understood. (AC-1). Roles, responsibilities and accountabilities for staff in charge of Official Release are formally defined and clearly communicated.

Roles, responsibilities and accountabilities for subject matter divisions; and, federal officials (outside of Statistics Canada) that have advance access to statistical releases are formally defined and clearly communicated.
TBS Audit Criteria related to the Management Accountability Framework
Policy on Official Release
1.2  Appropriate and effective oversight bodies have been established and their roles and responsibilities have been formalized, as it pertains to the internal and external environments of the OR process. (G-1, G-3, G-4, G5 & G-6) Oversight bodies have clearly defined mandates and they request and receive sufficient, complete, timely and accurate information, to govern the official release of datasets, analytical and information products. TBS Audit Criteria related to the Management Accountability Framework

Policy of Official Release

Directive on the Transmission of Protected Information
1.3 An effective risk management framework exists surrounding the security of OR datasets, analytical and information products, and adequate strategies have been developed. Management identifies and periodically assesses the risks that may preclude the achievement of the OR objectives.

Employees are aware of values and ethics directives and understand who and where to go to in the event of witnessing wrongdoing and feel free to do so.
TBS Audit Criteria related to the Management Accountability Framework

Policy on Official Release

Values and Ethics Code for the Public Service
1.4  External parties receiving AR information formally acknowledge their understanding and acceptance of their accountability. (AC-2) A system is in place for external partners to formally acknowledge their understanding and acceptance of the accountabilities related to the OR process.

Arrangements for the AR of datasets, analytical and information products to partner and/or outside organizations are regularly and formally monitored for its applicability / validity.
TBS Audit Criteria related to the Management Accountability Framework

Policy on Official Release

Directive on Data Sharing under Sections 11 and 12
2)  Appropriate control mechanisms have been established and are consistently applied to ensure that the AR of the Agency products is compliant with the Agency's Policy on Official Release and other applicable Statistics Canada policies and directives.
2.1   AR data are protected and released according to established criteria within the Policy on Official Release. (ST-9) Access to assets, records and information utilized when disseminating information in advance of the release are limited to authorized individuals.

Access is restricted, such that assets are secured and confidential information is provided only on a 'need-to-know' basis.
TBS Audit Criteria related to the Management Accountability Framework: A Tool for Internal Auditors

Policy on Official Release

Directive on the Security of Sensitive Statistical Information
2.2    Appropriate system application and physical security controls surrounding confidential statistical information exist, as they are communicated to and/or transmitted electronically to, within and outside Statistics Canada according to approved standards and methods. (ST-11) Logical access controls exist to ensure access to systems, data and programs, is restricted to authorized users (i.e. especially as it applies to the Media Lock-Up Room).

The method of providing AR information to external organizations meet the security requirements for transmission of sensitive statistical information to ensure that only the intended recipient sees the information.
TBS Audit Criteria related to the Management Accountability

Directive on the Security of Sensitive Statistical Information

Direction on the Transmission of Protected Information
2.3  Records and information of sensitive statistical products are safeguarded, using information systems that are maintained in accordance with applicable policies and directives. (ST-12) IT controls for the OR process include manual controls that can be initiated in the event of an IT malfunction, and their operating effectiveness is periodically tested.

In the event of an IT malfunction, responsibility for monitoring the management of information is clearly assigned to key stakeholders involved in the AR process.

Third party contracts have requirements in place that ensure the protection of sensitive statistical information.
TBS Audit Criteria related to the Management Accountability

Policy on Official Release

Directive on the Security of Sensitive Statistical Information

Directive on the Transmission of Protected Information

Policy on Government Security

GOC Policy on Contracting

STC Policy on Official Languages
2.4  The Agency provides employees, whom are appointed as media spokespersons for their respective divisions, with the necessary media training, tools, resources and information to support the discharge of their responsibilities. (PPL-4) A suitable training and development plan exists for the handling and management of the Media. TBS Audit Criteria related to the Management Accountability

Policy on Official Release

Policy on Media Relations: Spokespersons and Response to the Media

Appendix B: Acronyms

Appendix B: List of acronyms
Acronym Description
AoC Acknowledgement of Confidentiality
ADSD Administrative and Dissemination Systems Division
AR Advance Release
CS Chief Statistician
DAC Departmental Audit Committee
EFT Electronic File Transfer
EFT-DGC Electronic File Transfer – Dissemination Governance Committee
EST Eastern Standard Time
ICN Internal Communications Network
IIA Institute of Internal Auditors
IT Information Technology
LFS Labour Force Survey
MACS Materiel and Contract Services
MRTS Monthly Retail and Trade Survey
OR Official Release
PWGSC Public Works and Government Services Canada
SMD Subject Matter Division
SRCL Security Requirement Checklist
Statistics Canada Statistics Canada
TBS Treasury Board Secretariat

Note:

Footnote 1

For this list, Common Governance has been separated out of advance release for information purposes as the approval process and forms differ from all other advance release requests under this condition.

Return to footnote 1 referrer

Variance and bias

Variance and Bias Infographic
Description for graphic: Bias and Variance

To understand variance and bias, consider a statistical survey as a throw aimed at the centre of a target.

  1. The concept that the survey is trying to measure is represented by the centre bull's eye. For example, the number of unemployed people or voter intentions. The bull's eye is the true value that can only be determined if every person or business answers a questionnaire. A survey based on a random sample cannot determine this value with certainty.
    {Visual}: A bull's eye is shown with a mark on the second innermost ring
  2. In fact, if the survey chooses a different random sample, the throws (or estimates) land in different places. The reliability and validity of the survey depends on where the throws land.
    {Visual}: A bull's eye with 15 marks scattered across it is shown.
  3. The variance and bias determine the effectiveness of the survey.
  4. The challenge is to avoid bias and reduce the variance as much as possible. For example, a large sample will lower the variance but will not reduce bias.
  5. Variance measures whether the throws are at roughly the same location on the target.
    {Visual}: 'Low Variance' is represented by a bull's eye with seven marks bunched together in the top right hand corner. 'High Variance' is represented with a bull's eye with seven marks scattered evenly across it.
  6. Bias measures whether this location is centred around the bull's eye.
    {Visual}: 'High Bias' is represented by a bull's eye with seven marks bunched together in the top right hand corner. 'Low Bias' is represented by a bull's eye with seven marks located in the center.
  7. When the bias is negligible, the survey statistician can establish, using laws of probability, that 95% of the throws would be within a margin of error corresponding to the three outermost rings. This calculation leads to the statements commonly used in media "the survey result is within a certain margin of error 19 times out of 20, "where 19 divided by 20 is 95%. A well-designed and executed survey will produce the smallest variance or margin of error possible.
    {Visual}: A bull's eye is shown to have 19 marks scattered across the innermost rings and one mark outside and to the left of the bull's eye.

Statistics Canada produces data on numerous topics of interest to Canadians. For example, the census of population collects data on every individual to produce very accurate counts every five years. To produce accurate economic and social data on a more frequent and timely basis, Statistics Canada typically conducts surveys that collect data on a random sample of individuals or businesses.

For example, the Monthly Survey of Manufacturing (MSM) publishes the values (in Canadian dollars) of sales of goods manufactured, inventories and orders six weeks after the end of every month. On October 16, 2014, the MSM estimated that $52,100 million of goods manufactured were sold in Canada in August 2014. Statistics Canada produced this estimate on the basis of data collected from a random sample of 10,500 business establishments across Canada.

Like any other survey, the aim of the MSM is to produce the most accurate results possible. How can we determine whether the MSM estimate of $52,100 million in sales of goods manufactured is, in reality, close to the actual level of sales in August 2014 in Canada? To do this, we use two measures of precision—bias and variance.

Variance is relatively easy to measure in a survey, whereas bias is more difficult. That's why, in an effective survey, we do everything possible to eliminate bias, so that the accuracy of the survey results depends on variance only. The MSM is no exception to this: by using a well-tested questionnaire, a proven methodology, specialized interviewers and strict quality control, and by following up with businesses that do not initially respond to the survey, we are able to minimize bias in the MSM.

Once we have minimized bias, we can adequately represent the accuracy of the survey results by variance only. We can express variance in various ways. For example, the August 2014 result of $52,100 million in sales of goods manufactured had a standard error of $260 million. The standard error represented 0.5% of the goods sold—this percentage is called the coefficient of variation, and is commonly used by Statistics Canada to express variance. Another method commonly used by the media to express variance is margin of error, which is also based on the standard error. With this method, the result of the August 2014 MSM could be expressed in the following familiar format: "Based on the Monthly Survey of Manufacturing, Statistics Canada estimates that $52,100 million of goods manufactured were sold in August 2014, with a margin of error of $520 million, 19 times out of 20." In this statement, the margin of error is twice the standard error.

In conclusion, bias and variance are key measures of the accuracy of survey results. When we conduct a survey using sound quality assurance principles, we avoid bias. When we design a survey on a sound scientific basis, we can calculate and control variance. Regardless of how we report variance—as a measure of the precision of survey results—the interpretation is always the same: the smaller the variance and the associated standard error, coefficient of variation and margin of error, the more reliable the corresponding survey results are considered to be.