What is research data management?
When you conduct original research, you collect data. Research Data Management (RDM) describes the active process of collecting, documenting, storing, sharing, and preserving that research data. The guiding principle is that your data should be findable, accessible, interoperable, and reusable (FAIR).
While making your data openly accessible is the ideal, RDM is about best practices related to the management of research data, not the sharing of it. Good RDM prompts you to be deliberate about your data management throughout a project. And, funders such as SSHRC, NSERC, and CIHR are beginning to consider researchers’ RDM plans in their funding decisions.
How we can help
The RRU Library can help you plan your data collection, explore the best way to document your work, or determine how and to what extent you could share your data. The resources below offer support in the form of guidelines and tools for implementing RDM. We invite you to browse these guides.
We're also available for one-on-one support as you build your RDM plan. Contact the library.