- Data is a key output of a research project and should be managed accordingly - otherwise it may be lost.
- The Tri-Agencies (NSERC, CIHR, and SSHRC) have developed a policy requiring grant recipients to follow RDM practices. Find the policy here.
- When data is managed appropriately, it can potentially be shared with other scholars working on related research projects - including replication and validation studies.
- Data may be requested in order to verify research findings after publication
- RDM protects scholarly reputations and the integrity of research.
- RDM can save researchers time and money, leading to fewer errors, easier analysis, and improve collaboration between team members.
Life cycle model developed by the Leadership Council for Digital Research Infrastructure. From the Portage Training Expert Group Primer: Research Data Management (CC BY 4.0).