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Research Data Management

Overview

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 purpose of RDM is to ensure that data are usable over time.

Effective management of data includes:

  • File organization 
  • Documentation and version control 
  • Storage and access for security and collaboration
  • Archiving and preservation for future accessibility
  • Policies for sharing and reuse

Why Manage Data? 

Good data management practices can help researchers:

  • Ensure long-term data use 
  • Meet funder and publisher requirements
  • Receive credit for their work