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Research Data Managment: Home

The Tri Agencies are developing policies around Research Data Management. The Objectives are to improve efficiency of research, support re-use of data for new insights or discoveries, foster collaboration and facilitate greater transparency.

2016: Statement of Principles on Digital Data Management. To promote excellence in digital data management practices and data stewardship in agency-funded research. " All data need to be managed, but not all data need to be shared or preserved"

2017: Draft Policy on Data Management Plans   Contains three elements expected to be policy by 2018-19:


1. Institutional Plans                                                                                                2. Data Management Plans                                                                                       3. Data Deposit



Research Data: Data that are used as primary sources to support technical or scientific enquiry, research, scholarship, or artistic activity, and that are used as evidence in the research process and/or are commonly accepted in the research community as necessary to validate research findings and results.

Research Data Management – Data Management refers to the storage, access and preservation of data produced from a given investigation. Data management practices cover the entire lifecycle of the data, from planning the investigation to conducting it, and from backing up data as it is created and used to long term preservation of data deliverables after the research investigation has concluded.

From: Research Data Management in Canadian Universities, A Statement of Principles

Current Funder requirements

Research Data Ethics

Storing Data and Data Security