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Research Data Management

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Research Data Management, or RDM, is the responsible stewardship of the data created or generated as part of a research project. It involves the responsible storage, description, and protection of research data, and should be an integral early part of any research project. You may already be practicing many of these principles.

"High-quality data management is fundamental to research excellence. The ability to store, access, reuse and build upon digital data is critical to the advancement of research, supports innovative solutions to economic and social challenges, and holds tremendous potential for improvements in quality of life nationally and internationally." Tri-Agency Statement of Principles on Digital Data Management

Image source: How and why you should manage your research data: a guide for researchers

 

Effective data management extends over the entire lifecycle of the data. Careful planning at the outset of a project can mean hours saved, ethical obligations given due thought, and your valuable data protected.

Establishing these practices and documenting the processes will ensure 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.

Projects with sensitive data that are not intended for reuse also need to plan their management strategies, in order to provide security and trust to research participants.

If you have questions about RDM at UWinnipeg, please contact Brianne Selman, Scholarly Communications & Copyright Librarian.

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