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Research Guides

Research Data Management


What is Research Data Management?

Research Data Management (RDM) refers to the practices of organizing, documenting, storing, sharing, and preserving data gathered during a research project. The aim of research data management is to ensure that data are usable over time.


Effective management of digital data involves:

  • Formatting data for easy analysis.
  • Quality control for integrity.
  • File organization and naming conventions for identification.
  • Documentation and version control for tracking changes and roll-back.
  • Managing storage and access locations for security and collaboration.
  • Back-up procedures for redundancy.
  • Policies for sharing and reuse.
  • Archiving and preservation for future accessibility.


Why Manage Data? 

Good data management practices can help researchers to:

  • Ensure long-term usability for themselves and others.
  • Meet funder and publisher requirements.
  • Receive credit for their work.