Well-managed research data is increasingly recognized as an international best practice and as contributing to the reach and impact of research. In March 2021, the Tri-Agency adopted a to promote wise practices of research data management (RDM).
The policy includes three pillars:
- the development of institutional RDM strategies;
- data management plans for grant applications;
- data deposits for grant-funded projects.
A gradual implementation of each pillar is underway.
As a pilot, for all applications to the five Tri-Agency grants listed below in 2023:
| Funder | Grant | Timeline |
|---|---|---|
| CIHR | [Now closed] | |
| CIHR | Virtual Care/Digital Health Team Grants [] | [Early 2023, not posted] |
| CIHR | Data Science for Equity [] | [Early 2023, not posted] |
| CIHR | Team Grant: | [Fall 2023] |
| NSERC | - Individual and Project | [Fall 2023] |
| SSHRC | - Individual and Project | [Fall 2023] |
Updated August 2023
Additional: View DMP resources
To develop the Queen鈥檚 institutional strategy, an ad-hoc committee was created: the Research Data Management Implementation Committee (RDMIC) (please see membership below). After considering the policy, gathering information, and discussing capacity and needs for RDM at Queen鈥檚, the RDMIC developed the first Queen鈥檚 institutional strategy and is now inviting feedback from the research community.
An institutional strategy helps to articulate RDM services, infrastructure, and wise practices, and to envision the future of RDM at the institution.
Data management plans and the deposit of research data are increasingly required for funding applications and/or journal submissions, and therefore, an understanding of RDM wise practices is essential for data stewardship, research impact and funding.
Of note, the Tri-Agency does not mandate that data be shared. Research communities will determine what is appropriate for deposit in particular areas and disciplines of research.
The Tri-Agency recognizes that research data created by and with First Nations, M茅tis and Inuit communities and organizations are managed according to research data management principles developed and approved by these communities and organizations
For more information
External Resources
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