Easy access to research data is becoming a vital part of scientific discovery and industrial innovation in Canada. The data centres and repositories described in this guide collect, organize, and disseminate datasets in order to stimulate research and accelerate discovery. Whether you're looking for data to use in your research or looking for a dependable repository in which to store your data, you can find Canadian data repositories by discipline. We've also included some advice about backup, citing data, intellectual property, and other data management issues.
If you know of a Canadian repository that we haven't included, please let us know.
Research data are defined here as the "factual records used as primary sources for research, and that are commonly accepted in the research community as necessary to validate research findings." (OECD, 2007)
The concept of research data is complex and fluid. Virtually all types of digital information have the potential to be research data if they are being used as a primary resource for research. The Australian National Data Service describes the wide variety of data types and forms as follows: "Some of the data might be raw data, the unprocessed observations of particular phenomena. Some might be processed data, the data produced when raw data has been calibrated or corrected. Some might be derived data, which present a summary or specific view of the raw data. Some might be textual data, the publications which result from a research project or the textual data (texts, bibliographies, surveys, etc.) which forms the basis of a research project." (ANDS, 2011)
(Research Data Strategy Working Group, 2011)