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Research Data Management

Research Data Management (RDM) is the responsible stewardship of data created or generated as part of a research project. Encompassing storage, description, and protection, it is an integral part of any research project from the start. You may already be practicing many of these principles.

Why is RDM Important?

Careful planning at the outset of a project can mean hours saved, ethical obligations given due thought, and valuable data protected. Establishing and documenting quality practices ensure that your research data are as usable as possible - to your research team, but also to future researchers who may find new ways to explore and reuse your data, or who may seek to replicate your findings.


Getting Assistance

brianne_300x300.pngContact Scholarly Communications & Copyright Librarian, Brianne Selman (b.selman@uwinnipeg.ca) for more information on RDM practices, creating data management plans, and help using the institutional data repository (Borealis). 


Resources

  • UWinnipeg Borealis: A place to store, share, publish, and discover UWinnipeg-affiliated research data.
  • Detailed RDM Guide: UWinnipeg's comprehensive guide to all aspects of Research Data Management.
  • Planning Assistant: A step-by-step tool for creating Data Management Plans (DMPs).
  • Tri-Agency Policy: More information about data management requirements for federal grants.
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