Research Data Management

What is Research Data Management?

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.

Why is Research Data Management important?

• Funders and journal publishers are increasingly making RDM a priority and a requirement including the Tri-Agency Research Data Management Policy. 
• Reduce the risk of data loss 
• Increase research efficiency and integrity
• Make your research more visible
• Enable collaboration.

What are research data?

Data can take many forms, including but not limited to: photographs, audio or video recordings, survey results, computer code, designs or diagrams, etc. Research data can be any materials you created during your research activities and have chosen to retain.

How should I begin?

With a Data Management Plan! Try the Digital Research Alliance of Canda's easy-to-use DMP Assistant Tool.

For more information on RDM planning, collecting and sharing visit UWinnipeg's RDM website.

Ready to learn more? 

Research Data Management [hosted by Athabasca University] is a self-directed micro-course, designed to assist emerging scholars with managing research data from start to finish.

Explore data management strategies via the course’s interactive content, engaging animations, and video clips. Learn from the first-hand experiences of experts and emerging scholars. Work through the course at your own pace and schedule - and download the Learning Journal to find reflection questions and professional development activities that you can revisit throughout your researcher’s journey.

Enter code: researchfree to access the course for free!