Research Data Management
The Tri-Agency Research Data Management Policy states that each postsecondary institution must create an institutional research data management (RDM) strategy to be eligible to administer CIHR, NSERC or SSHRC funds.
The Agencies expect the research they fund to be conducted to the highest professional and disciplinary standards, domestically and internationally. These standards support research excellence by ensuring that research is performed ethically and makes good use of public funds, experiments and studies are replicable, and research results are as accessible as possible. Research data management (RDM) is a necessary part of research excellence.
The three main components of the Tri-Agency Research Data Management Policy are:
- Development of an institutional RDM strategy by March 2023
- A requirement for researchers to complete data management plans (DMPs) for research projects starting in 2022
- That institutions provide the infrastructure for safe data deposit.
In line with the concept of Indigenous self-determination and in an effort to support Indigenous communities to conduct research and partner with the broader research community, the agencies recognize that data related to research by and with the First Nations, Métis, or Inuit whose traditional and ancestral territories are in Canada must be managed in accordance with data management principles developed and approved by these communities, and on the basis of free, prior and informed consent. This includes, but is not limited to, considerations of Indigenous data sovereignty, as well as data collection, ownership, protection, use, and sharing.
A research data management system is the complete system under which research data is collected and managed and includes the formal processes of institutional assessment and periodic re-assessment, creating, reviewing and updating procedures, support services, support personnel, longevity of the approach and compliance.
Oversight and Review