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Search Data in Odesi

What is Odesi?: (Ontario Data Documentation, Extraction Service and Infrastructure) is a digital repository for social science data, including polling data with a web-based data exploration, extraction and analysis tools.
Laurentian users can use Odesi to access Statistics Canada microdata files (PUMFs), extracts from the CIHI Discharge Abstract Database (DAD), an extensive collection of Canadian opinion polls, and assorted, historical datasets unavailable elsewhere. Odesi allows users to explore variables and values, and to create custom tabulations and subsets in a web browser. See the Odesi user guide for instructions.

Statistics Canada Microdata

Data Liberation Initiative (DLI): Statistics Canada division which makes available public use microdata files (PUMFs), databases and geographic files. The DLI primarily distributes StatCan microdata but also includes the Postal Code Conversion File (PCCF) and some data from the Canadian Institute for Health Information's Discharge Abstract Database (DAD). Some of these files may be retrieved from the Odesi portal. Other files must be requested directly by our team. For more information, please contact data@laurentian.ca.

Research Data Centers (RDC): RDCs provide researchers with access, in a secure university setting, to microdata from population and household surveys. The centres are staffed by Statistics Canada employees. RDCs are located throughout the country; the closest RDC to Laurentian is in North Bay, Ontario at Nipissing University. For more information, please contact data@laurentian.ca.

Borealis: the Canadian Dataverse Repository

Borealis logo

Borealis, the Canadian Dataverse Repository, is a bilingual, multidisciplinary, secure, Canadian research data repository, supported by academic libraries and research institutions across Canada. Borealis supports open discovery, management, sharing, and preservation of Canadian research data.

As a researcher at Laurentian, Borealis offers you a place to securely store, manage, publish, share, and support discovery and reuse of your research data. For free! Contact Dan Scott for assistance.