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Canadian Initiative on Social Statistics (CISS) Data Training Schools

Regulations Governing Grant Applications

Next application deadline Value Duration Results announced Apply

December 7, 2010

Up to $50,000 per annum

3 years

February 2011

Application form not available

Web CV and instructions

Value and Duration
Evaluation and Adjudication
More Information



The Canadian Initiative on Social Statistics (CISS) is a co-operative project of SSHRC and Statistics Canada. Its aim is to promote research and training in the application of social statistics.

Statistics Canada has developed a rich and unique set of data collection instruments and data sets, which provide the country with an excellent statistical base of information on critical social and socio-economic issues for which there is an increasing demand on the part of policy makers. A great deal of this valuable data is under-utilized because of Canada's lack of a national capacity to analyze them fully, which results from a lack of training. This problem is compounded by researchers' difficulties in accessing highly detailed files, due to Statistics Canada's legal responsibility to protect the confidentiality of individually identifiable responses. Against this backdrop lies a pressing need for current social statistics to sustain the increasing demand for evidence-based decision-making.


The Data Training Schools (DTS) serves postsecondary institution researchers, graduate and undergraduate students, policy analysts and data librarians. DTS courses cover topics in quantitative methods and the use of Canadian micro-data. The DTS initiative contributes to increasing the number of researchers engaged in quantitative research.



Data Training Schools offer short courses in social data analysis, which are adapted to Canadian data and research concerns. These include a series of intermediate level courses in data analysis as well as more advanced courses in the analysis of longitudinal and/or multilevel data. The specific objectives of the DTS courses are to:

  • increase participants' awareness of, and familiarity with, currently available Statistics Canada data and surveys;

  • teach participants how to use and apply specific techniques to real data, which means they can manage data, scale variables, create composite variables, handle missing data, use design weights and use more complex statistical methods appropriate to the analysis of longitudinal or multilevel data sets;

  • build expertise that focuses on Canadian issues and Canadian data; and

  • aid in the identification of policy questions that can be illuminated through quantitative research.



A DTS must be hosted in a Canadian postsecondary institution for no less than seven days. Sessions should be intensive and focus on formats that encourage the active contribution of all participants.

Course Participants

Participation in the DTS should be open to Canadian postsecondary institution researchers, as well as researchers and policy analysts from public and not-for-profit research organizations, graduate and undergraduate students and data librarians.

Resource Personnel

DTS resource personnel, including course instructors, main speakers and discussion leaders may be Canadian and/or foreign. Statistics Canada employees will act as technical resource people by providing information and advice on how to use Statistics Canada surveys and data sets.


Eligible applicants include research groups, departments and centres that are operating in a Canadian postsecondary institution.

Institutions that propose to administer any grant awarded under this program must meet the requirements for managing SSHRC funds and must hold or obtain institutional eligibility.


Value and Duration

The program offers three awards. Each is valued at up to $50,000 annually for three years.

Eligible expenses include:

  • travel and accommodation for resource personnel and course attendees (excluding Statistics Canada personnel);
  • administrative expenses related to the organization of the DTS; and
  • fees paid to main speakers and course instructors, but not to attendees or Statistics Canada personnel.

Evaluation and Adjudication

An adjudication committee of experts, selected by SSHRC, evaluate all applications to host a DTS. Proposals are evaluated according to five criteria:

  • the correspondence of the proposed DTS to the overall objectives of the program as stated above;
  • the competence and expertise of the proposed resource personnel, specifically the course instructors, main speakers and discussion leaders;
  • the quality of the program proposed for the DTS;
  • the significant participation of students and all types of researchers; and
  • the appropriateness of the budget and the value-for-money.

More Information

Please address questions concerning the CISS Data Training Schools program to:

Mika Oehling
Program Officer
Strategic Programs and Joint Initiatives Division
350 Albert Street
P.O. Box 1610
Ottawa, ON  K1P 6G4

Tel.: 613-992-4227
Fax: 613-947-0223