Annual Report
Privacy 2009-2010

Archived information

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Organizational structure

Mandate of Statistics Canada

Statistics Canada's mandate derives primarily from the Statistics Act. The Act requires that the Agency collect, compile, analyse and publish statistical information on the economic, social and general conditions of the country and its citizens. The Act also requires that Statistics Canada co-ordinate the national statistical system, specifically to avoid duplication in the information collected by government. To this end, the Chief Statistician may enter into joint data-collection or -sharing agreements with provincial and territorial statistical agencies, as well as with federal,provincial and territorial government departments pursuant to provisions of the Act.

The Statistics Act specifically requires Statistics Canada to conduct a Census of Population and a Census of Agriculture every five years. The Act also gives the Agency substantial powers to request information for statistical purposes through surveys of Canadian businesses and households. By default, response to Statistics Canada's surveys is mandatory under the Act; refusal to participate is subject to legal penalties. The Act includes provisions to make participation in data collection voluntary: Statistics Canada has done so generally with household data collection other than the Census of Population and the Labour Force Survey,the latter produces key economic data. The Census of Agriculture and all key surveys of businesses are mandatory.

Statistics Canada can also, by law, access all administrative records, including personal and business tax data, customs declarations, and birth and death records. Such records are critical sources of statistical information, which enable the Agency to reduce reporting burden on business and individual respondents. Statistics Canada is considered a leader among the world's statistical agencies in reducing reporting burden by using administrative data.

These mechanisms help Statistics Canada achieve its long-standing strategic outcome, which is to ensure Canadians have access to objective, high-quality, non-partisan statistics, statistical products, services and analyses on Canada's economy and society that fulfill legal requirements, are relevant to policy formulation and decision makers, and are responsive to emerging issues.

Administration of the Privacy Act

The Privacy Act, which concerns itself with personal information, stipulates that government institutions can collect personal information only if it relates to operating programs or activities of these institutions. In the case of Statistics Canada, the Statistics Act provides the authority to collect personal information for statistical purposes. The privacy legislation further demands that individuals from whom information is collected be informed of the purpose served by the collection and also protects collected information from disclosure.

The administration of the privacy legislation within Statistics Canada is the responsibility of the Data Access and Control Services Division. The Director of this division is the Access to Information and Privacy Coordinator for the department.

Delegation instrument

A detailed list of authorities under the Privacy Act has been formally delegated by the Minister Responsible for Statistics Canada (Appendix A).

Implementation: Privacy

The Privacy Act has a substantial impact on the Agency but the impact cannot be measured only in terms of the number of requests processed. Although society seeks a broader range of detailed information, it is also demanding more accountability on the part of government about the collection of personal information and the purposes served by the information. The Agency has taken a number of initiatives to address the privacy challenges this dichotomy raises.

For a number of years, the Agency has had in place internal policies which reflect basic principles found in the Privacy Act. The Statistics Canada Policy on Informing Survey Respondents requires that all respondents are provided with information about the expected use of the statistics produced from the survey results, the authority under which the survey is taken, their obligation to respond, the confidentiality protection given to all information collected under the Statistics Act and any data-sharing arrangements pursuant to provisions of the Statistics Act. Another Statistics Canada policy, the Policy on Record Linkage, was developed to respond to concerns of both respondents and privacy advocates on the potential of computing technology to match an individual's information gathered from a variety of sources.These two policies not only support compliance with the letter and the spirit of the Privacy Act, but also demonstrate the Agency's commitment to the protection and appropriate use of the personal information under its control, while still meeting its mandate.

Privacy requests

In the current reporting period, the Agency received 53 requests and there were five requests outstanding from the previous reporting period for a total of 58 requests. Of the total, 57 requests were completed, leaving one which is being carried forward to the next reporting period.

There were 29 requests for which information was disclosed in part. Of these, the application of section 26 was invoked in 21 cases in order to protect personal information about individuals other than the person making the request.

There were two requests abandoned by the requestors and 11 requests that could not be processed because the requested records did not exist.

Privacy requests
Disposition of requests completed Total
All disclosed 12
Disclosed in part 29
Nothing disclosed (exempt) 2
Unable to process 11
Abandoned 2
Transferred 1
Total 57

Formal/informal interface

Statistics Canada responds to a large number of requests for personal information through its pension searches program without invoking the formal processes of the Privacy Act. This program was set up to provide members of the public with information from their own census records and the 1940 National Registration records to support applications for pensions, citizenship, passports and similar situations where other administrative records such as birth certificates are required but no longer exist or were never issued. During 2009-2010, the pension searches program received 1,425 cases.

Statistics Canada also responded to a number of requests from trustees or estate administrators seeking personal information from census and/or 1940 National Registration records of deceased individuals, minors or dependent adults. Regulations with respect to privacy allow for the same rights or actions as are given to an individual to be exercised or performed on behalf of a minor or an incompetent person by someone duly authorized to administer the affairs or estate of that person. In the case of deceased persons, the administrator of the estate may exercise these rights but only for the purposes of estate administration. Statistics Canada processed 42 such requests during the current reporting period.

Complaints and investigations

There were four complaints lodged with the Office of the Privacy Commissioner during the current reporting period. These four complaints were from two individuals who believed that Statistics Canada did not provide all the documents related to their requests within the required time period. The Office of the Privacy Commissioner is currently investigating all four complaints.

Types of disclosure under subsection 8(2) of the Privacy Act

The Privacy Act, in subsection 8(2), describes the circumstances under which personal information may be disclosed without the consent of the individual to whom the information pertains. Although this disclosure of personal information is discretionary, it is subject to any other Act of Parliament. In the case of Statistics Canada, the Statistics Act provides a statutory prohibition against disclosure of identifiable information, without the knowledge and consent of the individual concerned. Therefore, personal information collected under the Statistics Actcannot be disclosed pursuant to subsection 8(2).

In the case of personal information in records held by Statistics Canada and subject only to the Privacy Act (i.e., those of employees and contractors), disclosures under subsection 8(2) can occur in certain circumstances, such as for the purpose for which information is obtained or compiled by the institution, for a use consistent with that purpose as described in personal information banks registered to Statistics Canada or for the purpose of complying with subpoenas, warrants, court orders and rules of court.

During the current reporting period, Statistics Canada did not disclose any personal information under subsections 8(2)(e), (f), (g) and (m) of the Privacy Act.

Privacy impact assessments

The Treasury Board Privacy Impact Assessment (PIA) Policy requires all federal government departments undertaking new or substantially redesigned programs that involve the collection,use or disclosure of personal information to do a privacy impact assessment of the activity.

To address the application of this policy vis-a-vis the collection, use and dissemination of statistical data, the Agency has its own PIA policy that specifies the roles and responsibilities of its statistical program areas and privacy specialists in Data Access and Control Services Division. This policy also gives the PIA Review Group a mandate to assist program areas undertaking privacy impact assessments.

The Statistics Canada PIA Policy provides for a generic approach to the assessment of privacy risks associated with the collection, use and disclosure of personal information for statistical purposes. The Generic Privacy Impact Assessment for Statistics Canada Surveys covers the majority of the Agency's household and business surveys and describes in detail the manner inwhich the Agency meets each of the ten privacy principles. As well, this document includes a threat and risk assessment that focuses on the Agency's major data collection methodologies such as computer-assisted interviewing, self-enumeration and electronic data reporting. This document is posted on the Statistics Canada web site.

In cases where the generic PIA is deemed not applicable to a survey due to special or enhanced privacy risks, specific privacy impact assessments are produced. In the current reporting period,PIAs for the 2011 Census of Population, the 2011 Census of Agriculture and the Canadian Health Measures Survey: Cycle 2 were completed and copies were sent to the Office of the Privacy Commissioner. The following is a brief description of each:

2011 Census of Population
A privacy impact assessment for the 2011 Census of Population was conducted focusing on the areas where there has been a modification of procedures adopted compared to the 2006 Census of Population. These modifications consist of the wave methodology for collection, the increased use of the internet response channel, the use of telephone broadcast messaging for non-responding dwellings, the automated questionnaire request system, the use of a Census Field Management System, as well as the contracted services for systems development.

2011 Census of Agriculture
A privacy impact assessment for the 2011 Census of Agriculture was conducted to address its new activities where there were specific privacy, confidentiality and security risks. They are:asking for the farm operation's Business Number on the agriculture census questionnaire; addressing the mail-out questionnaire to the farm operator(s) by name; and using a centralized telephone interview for all follow-up, which eliminates the local enumerator role. As well, using the Internet to complete a census questionnaire is discussed.

Canadian Health Measures Survey: Cycle 2
The Canadian Health Measures Survey: Cycle 2 is collecting information from over 5,000 persons across the country that will help evaluate the extent of health problems among Canadians. The survey is conducted using both a questionnaire and physical measure tests administered in a mobile examination centre at 16 different sites across Canada. Collection began in September 2009 and will continue over 24 months.

According to the Treasury Board Policy, the collection, use and disclosure of personal information in the context of new or redesigned administrative programs and services for example, human resources and marketing may require that a privacy impact assessment be conducted. In the current reporting period, five such PIAs were completed and sent to the Office of the Privacy Commissioner: the 2011 Census Dissemination Discussion Forum, the Data Visualization Feedback Form, the Employee Clearance Notification Form, the Generic Tracking System and the Human Resources Self Serve Portal. The following is a brief description of each:

2011 Census Dissemination Discussion Forum
The 2011 Census Dissemination Discussion Forum was developed to foster the exchange of ideas and suggestions for the 2011 Census dissemination strategy. This online discussion forum was a component of the 2011 Census and geography dissemination consultation process and offered users an opportunity to provide input into the planning of the 2011 Census and geography products and services.

Data Visualization Feedback Form
The Data Visualization Feedback Form was developed to solicit feedback from visitors to the Statistics Canada web site on proposals for the Data Visualization Initiative which is developing new enhanced ways to present statistical data on the web site.

Employee Clearance Notification Form
Because all departing Statistics Canada employees are required to complete an Employee Clearance Notification Form to ensure that all documents, reference materials and equipment assigned to employees are returned prior to their leaving the Agency, an electronic version of the form was developed to facilitate this process.

Generic Tracking System
Statistics Canada has developed a Generic Tracking System to facilitate the shipments of printed survey collection materials to its regional offices as well as to individual field interviewers at their home addresses. It offers a consistent platform for the creation, filling, shipment and receipt of these survey materials (blank questionnaires, training manuals, supplies, etc.) in a secure, timely and cost-efficient manner.

Human Resources Self Serve Portal
The Human Resources Self Serve Portal was developed to provide desktop access to Canada employees to a wide range of personal and work-related information. It resides on a secure internal network and access to the portal is restricted to Statistics Canada employees with a valid Statistics Canada computer account.

Summaries of these completed privacy impact assessments can be found on the Privacy impact assessments page.

Data matching (Record linkage)

As outlined in the Agency's Policy on Record Linkage, Statistics Canada carries out linkages of different records pertaining to the same individual only for statistical purposes and only when the results of the linkage will yield a potential public benefit which clearly outweighs the invasion of the privacy of individuals. One of the primary objectives of these linkages, therefore, is to provide statistical information to support various research studies.

All record linkage proposals must satisfy a prescribed review process as outlined in the policy. It should be noted as well that, in many cases, files produced from the linkages are stored in away that does not allow the retrieval of an individual record by name or other personal identifier. The public dissemination of any information resulting from record linkages, like all other statistical information, is only at an aggregate level which protects the confidentiality of the information of individuals.

During the current reporting period, there were 17 approved record linkages that involved personal information. A summary of these record linkages is found in Appendix B.

Institution-specific policies, guidelines and procedures

Statistics Canada did not implement any new or revised policies, guidelines or procedures during the reporting period.

Training initiatives for Privacy

Data Access and Control Services Division provides formal instruction to Agency staff on the Privacy Act. In 2009-2010, six sessions were presented as part of the Agency's Middle Managers training program, the Business and Economic Statistics training program and training organized for Human Resources specialists. An estimated 140 persons attended these sessions.

Statistical report

The following includes the statistical reports on privacy for the current reporting period, as well as the methodology used for calculating costs.

Report on the Privacy Act

Institution: Statistics Canada

2009/04/01 -2010/03/31

Part 1 - Requests under the Privacy Act

Part 1 - Requests under the Privacy Act
Requests Number of Requests
Received during reporting period 53
Outstanding from previous reporting period 5
Total 58
Closed during reporting period 57
Carried forward 4

Part 2 - Disposition of requests completed

Part 2 - Disposition of requests completed
Disposition of requests Completed
All disclosed 12
Disclosed in part 29
Nothing disclosed (excluded) 0
Nothing disclosed (exempt) 2
Unable to process 11
Abandoned by applicant 2
Transferred 1
Total 57

Part 3 - Exemptions invoked

Part 3 - Exemptions invoked
Section Number of requests
Art. 18(2) 0
Art. 19(1)(a) 0
Art. 19(1)(b) 0
Art. 19(1)(c) 0
Art. 19(1)(d) 0
Art. 20 0
Art. 21 0
Art. 22(1)(a) 0
Art. 22(1)(b) 0
Art. 22(1)(c) 0
Art. 22(2) 0
Art. 23(a) 0
Art. 23(b) 0
Art. 24 0
Art. 25 0
Art. 26 23
Art. 27 2
Art. 28 0

Part 4 - Exclusionscited

Part 4 - Exclusionscited
Section Number of requests
Art. 69(1)(a) 0
Art. 69(1)(b) 0
Art. 70(1)(a) 1
Art. 70(1)(b) 0
Art. 70(1)(c) 1
Art. 70(1)(d) 0
Art. 70(1)(e) 0
Art. 70(1)(f) 0

Part 5 - Completion time

Part 5 - Completion time
Time Number
30 days or under 46
31 to 60 days 7
61 to 120 days 3
121 days or over 1

Part 6 - Extensions

Part 6 - Extensions
Extensions 30 days or under 31 days or aver
Interference with
operations
1 1
Consultation 0 1
Translation 0 0
Total 1 2

Part 7 - Translations

Part 7 - Translations
Translations Requested
English to French 0
French to English 0
Total 0

Part 8 - Method of access

Part 8 - Method of access
Method Number accessed
Copies given 41
Examination 0
Copies and examination 0

Part 9 - Corrections and notation

Part 9 - Corrections and notation
  Number
Corrections requested 0
Corrections made 0
Notation attached 0

Part 10 - Costs

Part 10 - Costs
Financial (all reasons) $
Salary 124,726
Administration (0 and M) 11,749
Total 136,475

Person year utilization (all reasons)
Person year (decimal format) — 1.6

Methodology for calculating costs

Privacy

Privacy
Costs Person-years $
Salary costs    
(a) Subject-matter divisions 0.2 12,800
(b) Access to information and privacy office 1.4 111,926
Sub-total 1.6 124,726
Administration costs    
(a) Subject-matter divisions 0 0
(b) Access to information and privacy office* 0 11,749
Sub-total 0 11,749
Total 1.6 136,475

Appendix A

Access to Information and Privacy Act Delegation Order

The Minister Responsible for Statistics Canada, pursuant to section 73 of the Access to Information Act and the Privacy Act, hereby designates the persons holding the positions set out inthe schedule hereto, or the persons occupying on an acting basis those positions, to exercise the powers and functions of the Minister as the head of a govemment institution, under the sectionof the Act set out in the schedule opposite each position. This Designation Order supersedes all previous Designation Orders.

Schedule

Schedule
Position Access to Information Act and Regulations Privacy Act and Regulations
Assistant Chief Statistician, Management Services Full authority as allowed by TBS Regulations Full authority as allowed by TBS Regulations
Coordinator, Access to Information and Privacy Rights/ Coordinateur (trice), Director and Assistant Director, Data Access and Control Services Full authority as allowed by TBS Regulations Full authority as allowed by TBS Regulations
Chief, Data Access and Control Services Access to Information Act
Sections 7(a), 7(b), 8(1), 9, 11(2), 11(3), 11(4), 11(5), 11(6), 12(2)(b), 12(3)(b), 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 22.1, 23, 24, 25, 26, 27(1), 27(4), 28(l)(b), 28(2), 28(4), 33, 35(2)(b), 71(1)
Regulations:
Sections 6( 1 ), 7(2), 7(3), 8, 8.1
Sections: 8(2)(j), 8(2)(m), 8(4), 8(5), 9(1), 9(4),10, 14, 15; 17(2)(b), 17(3){b),18(2), 19(1), 19(2), 20, 21, 22, 23, 24, 25, 26, 27, 28
Regulations
Articles: 9, 11(2), 11(4), 13(1), 14
Senior Access to Information and Privacy Project Manager Sections: 7(a), 8(1), 9, 11(2), 11(3), 11(4), 11(5), 11(6), 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27(1), 27(4), 28(1)(b), 28(2), 28(4), 71(1)
Regulations:
Sections: 6(1), 7(2), 7(3), 8, 8.1
Sections: 8(2)(j), 8(2)(m), 10, 14, 15, 18(2), 19(1), 20, 21, 22, 23, 24, 25, 26, 27, 28
Regulations:
Sections: 9, 11(2)
Access to Information and Privacy Project Officer Sections 8(1) and 9 for all records Section 15 for all records

Dated, at the City of Ottawa
this 20 day of 08, 2009
The Honourable Tony Clement
Minister responsible for Statistics Canada

Appendix B

Record Linkages

Approved record linkages containing personal information

The following is a summary of the record linkages containing personal information that were approved during the reporting period of 2009-2010.

Study of the Effectiveness and Interaction of the Canada Student Loans Program and the Canada Education Savings Program

Purpose: To assess the ability of the Canada Student Loans Program and the Canada Education Savings Program to reduce financial barriers and to encourage post secondary education for students from all socio-economic backgrounds, and to evaluate the effects of these programs on post-secondary education outcomes.

This research will examine the degree to which the increasing value of assets and withdrawals from Registered Education Savings Plans (RESPs) have affected the demand for Canada student loans, and the degree to which RESPs have lightened the burden of student loans and aided students in completing their studies more quickly. In addition, this research will provide insight and understanding into the strategies that families and students employ to finance post-secondary education, and how the Canada Student Loans Program and the Canada Education Savings Program contribute to this strategy, both individually and jointly.

An improved understanding of the effects of the Canada Student Loans Program and the Canada Education Savings Program and the interaction between these programs will aid the Government of Canada in its long-term planning for a more effective and efficient set of policies designed to remove barriers to post-secondary education.

Description: The project involves matching administrative data files from Human Resources and Skills Development Canada's Canada Student Loans Program (CSLP) (1991 to 2008) and Canada Education Savings Program (CESP) (1998 to 2008) with Statistics Canada's Longitudinal Administrative Database (LAD) (1985 to 2007). The LAD is a 20% sample database of tax-filers. Only data on CSLP borrowers and CESP beneficiaries, parents or subscribers that match to the LAD will be retained on the linked analysis file. However, all LAD records will be retained on the file, including those that do not match to CSLP or CESP records, in order to allow for a comparative analysis with persons and families who are not receiving loans or CESP savings incentives.

The LAD, CSLP and CESP datasets will be linked deterministically using the Social Insurance Numbers (SIN) of the CSLP borrowers and the SINs of the parents and subscribers of the CESP beneficiaries and the CESP beneficiaries themselves where no parent information is available and the beneficiary has submitted a tax return.

Output: Only aggregate data and analysis conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Findings will be disseminated in research papers to be published by Human Resources and Skills Development Canada and Statistics Canada. The results will be presented to Canadian post-secondary institutions and provincial and territorial education ministries. The linked file will be retained by Statistics Canada until the research project is complete and the information is no longer needed, after which time it will be destroyed.

Using Information from the Canadian Community Health Survey Program for Purposes of Other Surveys

Purpose: The Canadian Community Health Survey (CCHS) program has two components: the CCHS Annual Component and the CCHS Focus Content Component. The Annual Component is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The Focus Content Component is conducted every three years; these cross sectional surveys collect in-depth information on selected topics or target populations.

Respondents to the CCHS program may be contacted for other surveys, especially on health topics. Many of these surveys are designed to be linked to the information provided by the respondents in the CCHS. The purpose of such linkages is to reduce response burden and permit more detailed analysis by combining the information collected on both surveys.

The CCHS and other surveys are used by federal and provincial departments, social service agencies, and other organizations to monitor, plan, implement and evaluate programs to, for example, improve the health of Canadians and the efficiency of health services. Researchers from various fields use the information to conduct research to improve health. Non-profit organizations and the media use results from the CCHS and other surveys to raise awareness about issues of concern to all Canadians.

Description: In cases where the sample for a survey is selected from respondents to the CCHS program, the data from both surveys will be combined.

Output: Only aggregate statistics conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The linked data files will be retained until no longer required by Statistics Canada, and may be made available in Statistics Canada's Research Data Centres.

Surveys that will use information from the CCHS may have data-sharing agreements with federal, provincial and territorial ministries, provincial statistical agencies, and nongovernmental organizations such as the Canadian Institute for Health Information. The shared files will contain information only for those respondents who agreed to share their CCHS and the other survey data with these organizations. The files will be kept by these organizations indefinitely.

Longitudinal Worker File: Linkage of Additional Personal Tax Variables

Purpose: To enhance the analytical potential of the currently linked file through the addition of several variables. The inclusion of additional personal tax variables on the Longitudinal Worker File (LWF) will allow researchers to examine job displacement in a more comprehensive way than is now possible. Currently, the outcomes associated with job displacement resulting from plant closures and layoffs can only be examined in terms of the incidence of re-employment and changes in reported earnings on the T 4 forms prepared by employers. Measures of these outcomes are incomplete. For example, displaced workers who subsequently become self-employed cannot be identified. The inclusion of net self-employment income will allow researchers to include self-employed workers in estimates of post-displacement employment rates and earnings.

The inclusion of Registered Retirement Savings Plan (RRSP) contributions and RRSP income will allow researchers to examine the extent to which working-age individuals(particularly older workers) withdraw funds from their RRSP savings in the wake of job displacement. Similarly, the inclusion of Pension Adjustment will allow researchers toexamine the extent to which workers d from jobs providing pension coverage are re-employed in jobs providing such coverage (and vice versa). This will benefit Canadians by providing information on financial preparations for retirement and factorsinfluencing those preparations.

The inclusion of educational deductions for full-time students, educational deductions for part-time students, and tuition fees deductions will allow researchers to examine the extent to which workers displaced by layoff or plant closure subsequently enroll in training or educational activities. Such information is important for the design and delivery of programs that provide training to Canadians, including those who are unemployed.

The inclusion of union or professional dues will allow researchers to examine if and how the risks and consequences of job displacement differ between unionized and nonunionized workers. This will benefit Canadians by providing information to the associations and unions that represent them in the workplace. Finally, the inclusion of a death identifier will allow researchers to better account for sample attrition when doing longitudinal analyses.

Description: The Longitudinal Worker File is constructed by linking four data sources. The T4 supplemental files provide employment counts in each company each year as well as the ability to track workers longitudinally and assess annual earnings changes. The Record of Employment (ROE) provides data on separations, by reason. The Longitudinal Employment Analysis Program (LEAP) file provides data on the size and industry of the company for which the employee works, and allows workers to be tracked longitudinally from company to company. This allows permanent separations to be distinguished from temporary separations. Finally, age, sex, marital status, Census Metropolitan Area, net self-employment income, Registered Retirement Savings Plan contributions and income, Pension Adjustment, educational deductions for full- and part-time students, tuition fees deductions, and union or professional dues deductions are added from the T1 files. The files are linked deterministically by the Social Insurance Number (SIN) of each employee.

The ROW, T4, and T1 are linked deterministically by the SIN of each employee. This interim linked file is then linked to LEAP by a company identifier (i.e., the payrolls deduction account number prior to 1997, and the business number from 1997 onwards),which is available on the ROW, the T4, and LEAP. The LWF final linked file is a 10% random sample of all employees in the interim linked file; records are selected based on the last digit of the SIN. The LWF contains data from 1983 up to 2006, and will be updated on an ongoing basis.

Output: Only aggregate data conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Papers will be published in Statistics Canada's Analytical Studies Research Paper Series as well as in academic journals. Papers will also be presented at professional conferences. The linked file, stripped of direct personal identifiers, will be retained at Statistics Canada until the information is no longer required, after which time it will be destroyed.

Creation of a Key Registry for Purposes of the Longitudinal Health and Administrative Data Initiative

Purpose: The Longitudinal Health and Administrative Data (LHAD) Initiative is a partnership among provincial and territorial ministries of health and Statistics Canada, as well as the Canadian Institute for Health Information, the Canadian Council of Cancer Registries and the Vital Statistics Council for Canada. The Initiative provides a collaborative framework for health research in Canada, where the objective is to address important information gaps on the health of Canadians and their health-care utilisation through analysis of combined administrative and population health survey data. Linkage of these datasets will allow pan-Canadian and comparative analyses across provinces and territories, and advance understanding of relationships among risk factors, socioeconomic characteristics, health status measures and health care utilization. A Key Registry will be created to improve the efficiency and quality of the linkages.

Description: The Key Registry will be created by linking the information on individuals within provincial and territorial health insurance client registries, supplied to Statistics Canada under LHAD Initiative agreements.

The Key Registry will be linked over time, starting from 1992 onwards and updated annually, for each province and territory. No linkages across jurisdictions will be done to create an unduplicated national registry.

The Key Registry will store the following personal information: name, address, gender, date of birth, health insurance number and a Statistics Canada-generated sequential identification number for each individual identified through the annual Key Registry linkage process. Linkage will be performed in a dedicated health record linkage data environment (the "LHAD environment"), using copies of the administrative and survey databases held by Statistics Canada. The Statistics Canada-generated identification number will be stored on each record of each database in this environment. The number will have no meaning outside of the LHAD environment, and will not be kept on the original databases held by Statistics Canada, such as the Vital Statistics and Cancer Registries or survey databases. For analytical studies, the number will be used to link an individual's records within and among the databases in the LHAD environment. The creation of a Key Registry and the use of a sequential identification number eliminate the need to store the personal information from the Key Registry on the databases in the LHAD environment. A limited number of Statistics Canada employees will have access to the Key Registry.

Output: No information from the Key Registry will be released outside of Statistics Canada. The registry will be used exclusively to support linkage activities within the LHAD data environment. Statistics Canada will retain the Key Registry files until it is determined that there is no further need for them. Research projects will be approved on a study-by-study basis. These may be carried out as part of an annual research agenda established by the provincial and territorial ministries of health, through the LHAD Initiative, or may be projects initiated by Statistics Canada or its clients. A summary of each approved study will be posted on the Statistics Canada web site. The Key Registry will be registered with the Treasury Board of Canada as a Personal Information Bank.

Canadian Coroner and Medical Examiner Database: Linkage to Canadian Vital Statistics Death Database

Purpose: To produce a national database of information on the deaths investigated by coroners and medical examiners in Canada linked to coded cause of death data to facilitate tabulation and statistical analysis. An annual report will be published of national,provincial and territorial data on deaths investigated by coroners and medical examiners, with a particular focus on deaths resulting from accidents (unintentional injuries),suicides, homicides, and deaths of undetermined intent. The database will also be used to analyse deaths that occur in the course of selected activities, such as snowmobiling or construction work, in selected locations, such as sports facilities or farms, as well as deaths from selected factors, such as motor vehicle exhaust or avalanches. This information could be used to improve policies and programs for injury prevention, health and safety, and public health.

Approximately 12% of the 230,000 deaths that occur in Canada each year are investigated by provincial and territorial coroners and medical examiners. These investigations yield detailed information on the circumstances of these deaths. However,coroners and medical examiners lack the expertise required to apply the international standard for the coding of cause of death data.

Statistics Canada has compiled an annual database of deaths registered in Canada for over 80 years, in cooperation with the provincial and territorial vital statistics registries. The cause of death is coded by Statistics Canada or by a provincial vital statistics registry. Expertise in cause of death coding thus resides in the vital statistics system. For this reason, the Canadian Vital Statistics Death Database is the most reliable and costeffective source of coded cause of death information for the deaths investigated by the coroners and medical examiners, and linkage is the best method for obtaining this information.

Description: The Canadian Coroner and Medical Examiner Database (CCMED) will be linked to the Canadian Vital Statistics Death Database to obtain the underlying cause of death, as well as codes for multiple causes and the nature of injury code, when they are available. This linkage will occur annually, starting with data for 2006, through probabilistic methods using the Generalized Record Linkage System.

Output: Information on deaths investigated by coroners and medical examiners will be received from those provinces and territories that have signed agreements with Statistics Canada. All signed agreements permit the linkage to take place and the linked information to be disclosed to the Public Health Agency of Canada and to all other provincial and territorial chief coroners/chief medical examiners.

Statistics Canada will request the written consent of the provincial and territorial Vital Statistics Registrars to disclose the cause of death data on the linked Canadian Coroner and Medical Examiner Database, and a disclosure order will be sought from the Chief Statistician to authorize the disclosure of a linked analysis file with names and direct personal identifiers removed to the Public Health Agency of Canada and to all provincial and territorial chief coroners/chief medical examiners.

The CCMED will be a cumulative database, starting with reference year 2006 data, containing personal identifiers and linking keys. The results of the linkage to the death data will be retained on the database indefinitely, which will result in an increasing number of records to analyse over time, and thus greater statistical power to detect trends. The annual linked analysis files, stripped of direct personal identifiers, will be also be retained indefinitely, to allow for annual reports and trend analysis to be produced, as well as a peer review of the study results. Identifiers and linking keys will be held separate from the linked analysis file and stored indefinitely.

Study of the Financial Performance of the Fishing Industry in New Brunswick, Nova Scotia and Prince Edward Island, 2007

Purpose: To gain a better understanding of the financial performance of the fishing industry in the Maritime Provinces, aggregate revenue and expense statistics will be analyzed for reference year 2007 and compared with existing data from previous years. Findings from this study will help the Department of Fisheries and Oceans (DFO)establish or modify policies and programs to support fishermen in this part of the country.

Description: This project will link the fishing licence records of approximately 400 selfemployed fishermen operating in the Maritime Region of Canada to the T1 Unincorporated File provided to Statistics Canada by the Canada Revenue Agency. The files will be linked deterministically using surnames, given names, addresses and postal codes.

Output: Only aggregate-level statistical data conforming to the confidentiality provisions of the Statistics Act will be released outside Statistics Canada to the DFO. DFO will analyze the aggregate-level data and disseminate their findings to managers at DFO and to the general public. The linked file will be retained at Statistics Canada until the research project is complete and the information is no longer needed. It will then be destroyed.

National Breast Screening Study: Fourth and Final Mortality and Cancer Follow-up

Purpose: The National Breast Screening Study aims to estimate to what extent, if any, regular mammographic screening in women between the ages of 40 and 70 will reduce the number of deaths due to breast cancer. Findings from three earlier follow up studies (1992, 2000, 2002) showed no reduction in the number of deaths from breast cancer in the women who had mammographic screening compared to unscreened women, or women who were screened with physical examination only. These findings were true in women under 50 years of age and those over 50. A final analysis at 20 years from the first mammogram is required to ensure that the follow-up period is not too short to see a reduced number of deaths.

Description: The Canadian National Breast Screening Study (NBSS) was a randomized clinical trial to determine the efficacy of screening women aged 40 to 49 and 50 to 59 for breast cancer. Approximately 90,000 women were recruited in 15 centres across Canada (Nova Scotia, Quebec, Ontario, Manitoba, Alberta and British Columbia) between January 1980 and March 1985. Each woman signed an informed consent form and was followed until they completed their fourth or fifth screening. Those women who were identified with breast cancer are being followed indefinitely.

The mortality and cancer linkage was originally approved in 1989, and was updated in 1995 and 2000 to extend the follow-up period. This is the fourth and final update and will extend the follow-up period to 2006.

The NBSS cohort will be linked to the 1981-2006 Canadian Mortality Database, the 1969-2006 Canadian Cancer Database and to the 1984 to 2008 Tax Summary File. Linkage to the latter assists in the evaluation of the death search by determining the status of the individuals (dead, alive, or unknown). at the end of the study period; the file contains no income data.

Output: Mortality and cancer analysis files will be prepared by Statistics Canada. The files will be split by jurisdiction of death and cancer incidence, and the death and cancer information will be sent to the appropriate Vital Statistics Registrars and Cancer Registries who, at their discretion, will release the files to the researcher at Women's College Hospital in Toronto.

Study findings will be released in aggregate form only and will not identify any individual study subjects. The mortality and cancer analysis files and linking keys will be retained at Statistics Canada until December 31, 2019, at which point they will be destroyed.

Studies and Ongoing Monitoring of Mortality and Cancer Incidence in Aluminum Smelter Workers in Quebec: The Rio Tinto Alcan (Quebec) Mortality Study (2000-2004 Update)

Purpose: As part of an ongoing program to monitor the mortality and cancer incidence in aluminum smelter workers where in the past workers in this industry have been exposed to high levels of coal tar pitch volatiles as well as other atmospheric contaminants the purpose of this update to the study is to identify any new effects of chemical exposures in the industry and to determine the effects of controls on previously identified diseases. Special attention will be given to causes that were found in a previous follow-up of mortality in this industry, to the pattern of mortality in women, and to any new risks in prebake operations which represent the new technology at future plants in Canada. The relationship between mortality and coal tar pitch volatile exposure will be evaluated by taking smoking risks into account.

The study will assist in determining the effectiveness of control measures and identifying specific diseases that should be of concern to workers and management and the focus of preventive actions. The results will be of assistance to Workers' Compensation Boards in determining the likelihood of occupational diseases in workers. Because the exposure to coal tar pitch volatiles involves exposure to chemicals (polycyclic aromatic hydrocarbons) in the air where plants are located, the results will be of assistance in assessing public health risks and influencing public health air pollution policy. Exposure response relationships are useful in establishing standards for control purposes.

Description: The original Rio Tinto (Aican) cohort of workers studied from 1950-1999 consisted of almost 17,000 workers. Of these, some 11,000 were alive at the end of December 1999. Persons who have joined the industry between 2000 and 2004 have now been added to the cohort and will be important in future follow-up studies of mortality in this industry. The present study will examine the mortality (and cancer incidence) of these persons in the period January 1, 2000 through December 31, 2004.Complete work histories and exposure information have been compiled for each worker. Their mortality will be ascertained by linkage with the Statistics Canada Canadian Mortality Database. Linkage to the Tax Summary File will be used to determine the status of the individual (dead, alive or emigrated) to assist in the evaluation of the death search. Cancer incidence will be followed up separately in Quebec through linkage to the Quebec Cancer Registry.

Output: A mortality analysis file will be prepared by Statistics Canada. The file will be split by jurisdiction of death and the relevant death information will be sent to the appropriate Vital Statistics Registrars who, at their discretion, will release the file to researchers at the Safety Health Environmental International Consultants Corporation and the lnstitut de recherche Rebert-Sauve en sante et securite du travail in Montreal.

Study findings will be released in aggregate form only, that is, they will not identify any individual study subjects, and will be shared with workers, employee representatives and management, health professionals in the aluminum industry, and will be made widely available through publication in scientific journals. The information will also be made available to provincial, federal and international organizations, such as the International Agency for Research on Cancer.

It is anticipated that mortality (and cancer) follow ups will be carried out every five years. The linked data files and linking keys will be retained by Statistics Canada until they are no longer required by the researchers, after which they will be destroyed.

Entry to, and Persistence in, Post-secondary Education by Young Canadians: Linkage of the Post-secondary Student information System (Atlantic Provinces) and the Longitudinal Administrative Database

Purpose: To determine how family and individual income and demographic factors influence whether young people undertake post-secondary education and whether they complete their programs of study. The impact of funding, such as bursaries, will also be examined. Findings from this study of young Canadians (age 16 to 24) in the Atlantic provinces may provide new information to assess and improve the effectiveness of postsecondary student assistance programs.

Description: This pilot study requires linkage of the Longitudinal Administrative Database (LAD) records of young Atlantic Canadians (including the family level information for the selected individuals available in the LAD) for tax years 1982 to 2007 with the Post-secondary Student Information System (PSIS) longitudinal file records for academic years 2001-2002 to 2004-2005. PSIS is designed to provide complete coverage of students attending post-secondary education (in this case, in Atlantic Canada), whereas the LAD is a 20% sample of tax-filers and their dependents. The resulting linked file will be comprised of all the records on the PSIS longitudinal database (Atlantic provinces) and all the LAD records of 16 to 24 years in the Atlantic provinces, in the 2001 to 2007 period.

Most records will be linked deterministically using the Social Insurance Number (SIN), which will be removed after the linkage. Where the SIN is not available on PSIS, the files will be linked probabilistically, using the following variables: first, middle and last name;date of birth; gender; permanent address (civic number and street); permanent postal code; permanent phone number; and current phone number.

Output: Only aggregate statistics that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Results of this research will be disseminated in Statistics Canada publications, in reports prepared for the Canada Millennium Scholarship Foundation, in academic research papers and in peer-reviewed international journals. The linked file, stripped of identifiers, will be retained until the study is complete and the information is no longer needed by Statistics Canada, at which time it will be destroyed.

Canadian Study of Diet, Lifestyle and Health: Linkage to the Canadian Mortality Database (1992 to 2008) and the Canadian Cancer Database (1969 to 2008) for a Prospective Study of Outcomes of Dietary Intake and Lifestyle Factors

Purpose: To investigate the relationship between diet and lifestyle factors and cancer incidence in Canada. The Canadian Study of Diet, Lifestyle, and Health (CSDLH), conducted from 1992 to 1999 by researchers at the Universities of Alberta, British Columbia, Toronto and Western Ontario, collected extensive lifestyle and dietary data from participants as well as biological specimens (hair samples and toenail clippings). The CSDLH survey (73,909 participants) is one of only a few cohort studies in North America that include sizeable numbers of both men (34,295) and women (39,614). Linkage of the CSDLH data to cancer incidence and mortality data has the potential to make a substantial Canadian contribution towards understanding the roles of diet and lifestyle factors in influencing cancer risk.

Description: The CSDLH cohort will be linked to the 1984 to 2008 Tax Summary File, the 1992 to 2008 Canadian Mortality Database (CMDB), and to the 1969 to 2008 Canadian Cancer Database (CCDB). Linkage to the Tax Summary File will assist in the record linkage, the manual resolution of doubtful links, and to verify the total number in the cohort who are found alive at the end of the study period and not lost to follow up (these files contain no income data). CSDLH participants have provided written informed consent for linkage to the CMDB and to the CCDB.

Output: All access at Statistics Canada to the linked microdata files will be restricted to staff whose work activities require such access. At no time will the information from the Tax Summary File leave Statistics Canada, except in the form of aggregate tables.

Mortality and cancer analysis files will be prepared by Statistics Canada. The mortality analysis file will be split by province or territory of death, and the records will be sent to the appropriate Vital Statistics Registrars who, at their discretion, will release the information to the researcher at Cancer Care Ontario. Similarly, the cancer analysis file will be split by province or territory of cancer incidence report, and the records will be sent to the appropriate Cancer Registrars who, at their discretion, will release the information to the researcher at Cancer Care Ontario. The researcher has undertaken to publish the study findings in the form of aggregate data that will not identify individual study participants.

Further mortality and cancer incidence updates may be requested by researchers in the future. Statistics Canada will retain the linked files until December 2020, or until it is determined that there is no further need for them, at which time they will be destroyed.

Linkage of the Workplace and Employee Survey to the Annual Survey of Manufactures and Logging, 1990 to 2006

Purpose: To improve understanding of the relationship between innovation and productivity growth—for example, by investigating the association between the investments in new production processes and productivity growth—and to identify the association between changing firm characteristics, such as participation in export markets and the composition of their workforce.

Research developed from this linked file will help to inform the development of economic policy. Improving innovation in Canada has been one of the key goals of federal economic policy. Analytical studies based on the linked file will help to inform evidence based policy development in this area. In a similar vein, analysis developed from the file will help to inform trade policy as it will help researchers to ascertain how firms adjust their workforces in response to changing trade patterns. In addition, the linked databasewill aid in future business survey design—by testing how subjective evaluations of business performance correlate with observed outcomes.

Description: This linkage will combine data from the Workplace and Employee Survey (WES) for the years 1999 to 2006 and the Annual Survey of Manufactures and Logging(ASM) for the years 1990 to 2006. The WES is a dual survey that starts with a sample of establishments and then draws a sample of employees within each establishment. Employer characteristics covered include technologies implemented, business strategies, training provided, organizational change, and subjective measures of productivity and profitability. Employee information collected by the survey includes education occupation, use of technology, training taken, job tenure and wages. The ASM yields statistics for manufacturing and statistics for total activity, including employment, wages and salaries, value added, sales, exports and expenditures on inputs.

The linkage will be carried out using common business identifiers that will remain on the file in the form ·of an alpha-numerical code that will· allow users to follow business units longitudinally, but not to identify them by name. The linkage will be performed once.

The linked file will contain only those data items required to undertake this research program. Only individuals that meet the requirements of the research program will be included in the file. Thus, out of the total of 6,000 establishments that were sampled for the WES—with about 17,000 employee responses—about 1,200 manufacturing establishments will be linked, with about 3,000 employee responses.

Output: Only aggregate data and analysis conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Results of this research will be disseminated in Statistics Canada publications and in peer-reviewed scientific journals. Statistics Canada will retain the linked file until it is determined that there is no further need for the file.

Long-team Income and Employment among Childhood, Adolescent and Young Adult Cancer Survivors: Linkage of the British Columbia Cancer Registry and the T1 Family File

Purpose: To assess the long-term income and employment experience of survivors of cancer diagnosed during childhood, adolescence or young adulthood. Due to increasingly successful treatment of individuals diagnosed with cancer before age 25, a survivor population is emerging, many of whom are now of labour force age. Evidence has shown that the majority of these survivors experience long-term health problems, as well as problems in educational achievement and psychosocial adjustments, due to the effects of the disease and its treatment.

This research will inform the development of risk-based programs and interventions to maximize the long-term productivity of this survivor population. In particular, it will examine which sub-groups of survivors are at high risk of problems with employability and income dependence in adulthood. The findings will be used to develop specific vocational counseling programs for cancer survivors which will be incorporated into the cancer care system in British Columbia, and will inform cancer care organizations across the country of the need for this service Canada-wide.

Description: A cohort of 4,000 cancer survivors will be identified from the British Columbia Cancer Registry. This cohort will include those diagnosed before age 25, in the period from 1970 to 2002, who survived at least five years after diagnosis, and who ·reached age 20 years or more during the period 1982 to 2007.

The cohort will be matched to the T1 Family File (T1FF}, which is a file of tax filers and their dependents, for the period 1982 to 2007. The resulting linked file will be a subset of the British Columbia Cancer Registry cohort, comprising only records matched to the T1FF. British Columbia Cancer Registry records will be discarded if they do not match to the T1FF. This linked file will be supplemented with a control group comprised of T1FF records only.

The T1FF and British Columbia Cancer Registry files will be matched using full surname, full first name, full second name or initial, postal code information and full birth date of the survivors. Since there is no further need for the identifiers, they will be removed from the file after the linkage.

The linked file will contain only those data items required to conduct the study. Only records of individuals meeting the requirements for the study will be included in the linked file.

Output: Only aggregate data conforming to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Statistics Canada will retain the linked file, stripped of identifiers, until it is determined that there is no further need for it.

Population Health Risk Tools: Linkage of 1996-1997 National Population Health Survey to Hospitalization and Mortality Data

Purpose: This study will examine whether self-reported measures of health behaviour, health status and other demographic factors can accurately estimate risk of death and disease in the Canadian population. The study will provide added value to current and future Canadian population health surveys by creating risk tools that can estimate the risk of important health outcomes (death and disease) at the population level.

Until recently, risk tools used by decision-makers and clinicians in Canada were developed from longitudinal datasets from other countries. In 2007, a national consultation Jed by health policy and statistical organisations emphasised the growing need for comprehensive information and tools to assist policy-makers in making informed choices about investments in health care and treatments, as well as public and population health initiatives, with the goal of improving system-level decision-making and ultimately, population health. Results also pointed to the lack of practical tools that would allow objective evaluation and comparison of the consequences of different policy decisions, before such decisions are made. The tools created in the study will support many of Canada's strategic health-planning directions.

Description: The 1996-1997 National Population Health Survey (NPHS) files (both cross-sectional and longitudinal components) will be linked to Health Person-Oriented Information (HPOI), 1992-1993 to 2006-2007, to the Canadian Mortality Database(CMDB}, 1996 to 2007, and to the Tax Summary File (TSF}, 1996 to 2008. The TSF does not contain income data, only information indicating whether individuals were alive or dead (and if dead, the date of death), if they emigrated or immigrated, and if taxes were filed during the study period. Personal identifiers, such as name and Social Insurance Number, will be used only for linkage purposes, then removed from the linked analysis file. Only records of respondents to the NPHS who consented to have their survey data linked with provincial health information will be included in the linked file.

The linkage and analysis will be conducted in Statistics Canada's offices. The linked files will not be available outside Statistics Canada.

Output: The study will create risk tools, which are mathematical equations using answers to questions collected on health surveys, to estimate the 10-year risk of illnessand death for the Canadian population. These risk tools can be used with current population health surveys, as well as in micro-simulation health models. The tools will be used to:

  • project the number of people who will develop a disease or health outcome, such as heart attack (acute myocardial infarction) or lung cancer;
  • describe whether population risk for disease is changing over time;
  • identify segments of the population at high baseline risk for developing a disease;
  • estimate the population health benefit of interventions;
  • estimate the population health benefit of risk factor reduction;
  • estimate the contribution of risk factor levels on future population risk.

All access to the linked microdata file will be restricted to Statistics Canada employees and deemed employees whose work activities require access. Only aggregate statistics that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The population health risk tools will be used in a number of research projects that Statistics Canada will undertake in partnership with health research agencies. Research papers and findings will be presented at scientific meetings and conferences, and submitted for publication in Statistics Canada's Health Reports, as well as medical and epidemiological journals. The linked analysis file, stripped of identifiers, will be retained by Statistics Canada until no longer required, at which point the file will be destroyed.

Air Pollution Study: Linkage of 1991 Census of Population, Canadian Mortality Database and Canadian Cancer Database Follow-up Study

Purpose: To assess the impact of long-term exposure to air pollution on human health, with the objective to inform the development of Canada-wide standards for key criteria pollutants. Linkage of separate sources of information is an important way in which Statistics Canada can meet identified data gaps on environmental data related to human exposure to air pollution. For example, Canada-wide standards for annual averages of either fine particulate matter or ozone have not been developed, largely due to lack of evidence from the Canadian population and uncertainties about the applicability of risk estimates generated in other countries to Canada.

The specific objectives of this study are: to determine whether deaths from all causes, from ischaemic heart disease, from cardiopulmonary disease, from respiratory cancer, and from all cancers combined are associated with long-term exposure to ambient air pollutants; to determine the air pollution risks for cancer incidence and the risks for specific cancer types; and, to examine the relationship of cancer incidence and causes of death to socio-demographic and neighbourhood characteristics over a 22-year period.

Description: For a previous record linkage approved in 2001, a sample of 2.7 million Canadians was selected from respondents to the 1991 Census of Population long-form questionnaires and their Census information was linked to the 1991 Health and Activity Limitations Survey, the 1990 and 1991 Tax Summary File and the 1991 to 2001 Canadian Mortality Database for the development of indicators on health.

The current project will extend and expand the linked information on the 1991 Census sample as follows:

  • linkage to an additional 20 years of the Tax Summary File, that is, to 2012;
  • linkage to an additional 10 years of the Canadian Mortality Database, up to 2011; and
  • a new linkage to the 1969 to 2011 Canadian Cancer Database, for the period 1969 to 2011.

The linked files will contain only those data items required to conduct the study. Personal identifiers, such as name and Social Insurance Number, will be used only for linkage purposes and then will be removed from the linked microdata file. Only a sample of individuals who completed the 1991 Census of Population long-form questionnaires is included on the file.

Output: All access to the linked microdata file will be restricted to Statistics Canada staff whose work activities require access. Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Availability of the linked file will be announced in The Daily. Major findings will be used to create research papers for publication in peer-reviewed journals (including Statistics Canada's Health Reports) and presentation at workshops and conferences.

The linked file, stripped of personal identifiers, will be retained until no longer required, at which time the file will be destroyed.

Stirling County Study: Mortality Update, 1993 to 2011

Purpose: To provide information about trends in mortality risk associated with psychiatric disorders identified through community-wide surveys collected periodically since 1952. The successful continuation of the study over more than 50 years is due largely to the fact that the diagnostic procedures for identifying depression, anxiety, and other psychiatric disorders have been reasonably similar throughout this period.

Few studies have looked at the relationship of depression and mortality in men. Previous analyses of participants in these surveys have revealed that depressed men had a higher mortality risk than men without depression. This study will investigate whether the higher mortality risk associated with depression among men will be maintained, and whether the observed trend of increased depression among women, the relationship between depression and cigarette smoking, including increased heavy smoking among women, and the population increase in obesity and its relationship to depression will influence mortality risk.

Description: The Stirling County Study was conducted in Nova Scotia by a researcher in 1952, 1962-1964, 1970 and 1992. The fictitious name of Stirling County was used to protect the identity of the respondents. The cohort file will consist of identifying information for 2,586 persons who have participated in the Stirling County Study and who were still alive in the 1990s.

The cohort file will be linked to the Canadian Mortality Database for the years 1993 to 2011 and to the Tax Summary File for 1984 to 2012. The Tax Summary File contains no income data, only information indicating whether individuals were alive or dead (and if dead, the date of death), if they emigrated or immigrated, and if taxes were filed during the study period.

Output: All access at Statistics Canada to the linked microdata file will be restricted to staff whose work activities require access. At no time will the information from the Tax Summary File leave Statistics Canada, except in the form of aggregate tables.

A mortality analysis file will be prepared by Statistics Canada. The file will be split by province or territory of death, and the records will be sent to the appropriate Vital Statistics Registrars who, at their discretion, will release the information to the researcher at the Massachusetts General Hospital in Boston. The researcher has undertaken to publish the study findings in an aggregate form only that will not identify any individual study subjects. The mortality analysis file, stripped of identifiers, and the linking key file will be retained separately at Statistics Canada until December 31, 2016, or until no longer required, at which point these files will be destroyed.

Study of Doctoral Graduates: Linkage of the National Graduates Survey and the Survey of Earned Doctorates

Purpose: To analyze the labour market outcomes of doctoral graduates from three perspectives: 1) in relation to their plans at the time of graduation; 2) in relation to whether they were pursuing a post-doctoral fellowship; and 3) in relation to mobility within the two-year period following graduation.

Linking the Survey of Earned Doctorates and the National Graduates Survey introduces a longitudinal dimension to studying the pathways of doctoral graduates between the time of graduation and two years later. This linkage will differentiate doctoral graduates who were pursuing post-doctoral training and those who were not, and enable the study of differences in labour market outcomes between these two groups.

Description: Records of doctoral graduates from the 2007 National Graduates Survey (Class of 2005) will be linked to the 2004-2005 and 2005-2006 Survey of Earned Doctorates master files. The files will be linked deterministically using the name of the institution where the doctorate was obtained and the graduate's first name, last name and date of birth.

Output: Only aggregate statistics that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. A report on doctoral graduate labour market outcomes two years after graduation in relation to their plans at graduation will be produced jointly by Statistics Canada and Human Resources and Skills Development Canada on a cost-recovery basis. The linked microdata file, stripped of identifiers, will be retained by Statistics Canada until the information is no longer needed, at which time it will be destroyed.

Military to Civilian Transition Outcomes Study of Canadian Forces Members: Linkage of Cohort to Tax and Superannuation Information

Purpose: To assess the health and economic outcomes of Canadian Forces (CF) members after their release to civilian life. There are currently 66,000 regular members serving in the CF and 310,000 veterans of the regular forces. Only about 14% of this population is currently receiving benefits and services from Veterans Affairs Canada (VAC). This linkage will assist Department of National Defence (DND) and VAC in identifying gaps in programs and services, evaluating existing programs and developing new re-integration and rehabilitation programs that meet the needs of military personnel as they transition to civilian life.

Transition outcomes are of interest to both departments. In addition, the New Veterans' Charter, which represents the most significant overhaul of rehabilitation and reintegration programs and services for veterans since the Second World War, was implemented by VAC in 2006 and both departments require more information on the impact of the new charter.

Description: Statistics Canada will provide indicators on the income, labour force participation, and health of members released from the CF from 1998 to 2007. Economic adjustment will be measured through the production of statistical tables from personal income tax data (T1 Family File (T1FF)) linked to a cohort of approximately 55,000 ex-CF regular and reserve members whose names and other personal identifiers will be supplied by DND and VAC. Health status will be measured through a special sample survey of 5,000 ex-regular CF members in the cohort, the Survey on Transition to Civilian Life. The frame will incorporate current contact information from the 2008 personal tax return (2008 T1) and from an extract of the Superannuation file to be supplied by Public Works and Government Services Canada as well as telephone number updates from InfoDirect.

Output: Statistics Canada will prepare an analytical paper on the post-release incomes of veterans. Only aggregate data that conform to the confidentiality provisions of theStatistics Act will be released to DND and VAC from the DNDNAC linkage to T1FF. Information will be provided in tabular form. The clients will not have direct access to the linked file.

Statistics Canada will conduct the cross-sectional sample Survey on Transition to Civilian Life in partnership with DND and VAC. Access to the survey frame with name,address and other contact information will be restricted to employees of Statistics Canada whose work activities require access. Respondents to this voluntary survey will be asked if they agree to share their survey information with DND and VAC and will be informed of the intended linkage of their survey responses to administrative data held by these two departments. Only records of respondents who agree to the sharing of their data with DND and VAC will be provided to the departments.

To enable DND and VAC to link the survey to administrative records for statistical purposes only, Statistics Canada will return to the departments the service number of respondents who agreed to share their survey information with DND and VAC.

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