What is research data management (RDM)?
Research data management (RDM) refers to the practices applied throughout the lifecycle of a research project to guide the planning, collection, documentation, and preservation of research data (Tri-Agency 2021).
(Adapted from Portage RDM 101 Module)
Why is RDM important?
RDM activities are integral to conducting responsible research and can help researchers save resources and time by ensuring data are complete, understandable, and secure:
- Plan how you will manage your data at the start of the project.
- Meet grant and publishing requirements.
- Ensure compliance with ethics and privacy policies.
- Increase the impact and visibility of research results.
- Encourage the discovery and reuse of research data.
- Safeguard research data for future reuse through long-term preservation and stewardship.
How can the library help with research data management activities?
Queen’s University Library (QUL) can help faculty, staff, and students on a variety of RDM topics research data including:
- Consultations on RDM considerations, including the impact/interpretation of the Tri-Agency RDM Policy.
- Assistance with the development of data management plans (DMPs) and using the DMP Assistant Tool.
- Advising on issues related to research data storage, backup, documentation, and metadata.
- Assistance with the selection of an appropriate research data repository for deposit.
- Review and curation of data deposits into the Queen’s Dataverse Collection.
- Training, workshops, webinars, and presentations to faculties, classes, labs, or research centres on RDM topics.
Consult our RDM LibGuide for more information about the following topics:
- Research Data Management Policies
- Library Support for RDM
- Best Practices and Queen’s Resources
Consult our Queen's Dataverse Collection Guide for more information about out data deposit and curation procedures:
Related and External Links
- Tri-Agency Policies
- Queen's University Vice-Principal Research Portfolio
- Queen's University Library