Research Data Management (RDM)
Definition: Processes applied throughout the lifecycle of a research project to guide the collection, documentation, storage, sharing, and preservation of research data.
Image: Steer Clear by Janelle Smith, submitted to the 2019 Images of Research Competition.
Good RDM practices improve research efficiency, support research integrity and replication, and enhance research visibility and impact.
These outcomes benefit researchers and their institutions, funders, and the research enterprise in Canada and internationally.
USask's RDM Strategy
Developed in response to the Tri-agency Research Data Management Policy, the RDM Strategy provides a roadmap outlining how USask will support researchers at all levels in complying with funder and publisher data policies, conducting high-quality, responsible research, and applying best practices in RDM.
Resources and Training
- USask Library’s Research Data Management Guide.