McGill Research Data Management Strategy - v3.0 -
Research Excellence
- Advance impactful RDM practices as an integral part of cultivating research excellence.
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Researcher-oriented
- Support all researchers towards the adoption of RDM practices by leveraging the best possible services and tools.
- Focus on reducing barriers throughout the research data lifecycle.
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Context-based Approach
- Recognize that different domains have different needs.
- Promote a flexible RDM model that is adaptable to all research domains.
- Align the institutional approach with recognized frameworks such as the FAIR Principles[1] (Findable, Accessible, Interoperable, and Reusable).
- Ensure that the unique rights, interests and circumstances of First Nations, the Métis Nation and Inuit are respected by adopting a distinction based RDM approach for research involving First Nations, the Métis Nation and Inuit communities and their data, such as OCAP[2] (Ownership, Control, Access, and Possession) and CARE[3] (Collective benefit, Authority to control, Responsibility, and Ethics).
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[1] Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., ... & Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific data, 3(1), 1-9. .
[2] OCAP® is a registered trademark of the First Nations Information Governance Centre (FNIGC).
[3] Research Data Alliance International Indigenous Data Sovereignty Interest Group. (September 2019). CARE Principles for Indigenous Data Governance. The Global Indigenous Data Alliance.
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