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Research Data Management

Research data management (RDM) is a key element of the research process and good practice in data management is one of the core areas of the responsible conduct of research. In these pages, you will find information about different aspects of RDM.

Research data management can be viewed as a 3-stage process:

1. Plan

    Before research
  • Data Management Plans
  • Costings
  • Collaborators
  • Ethics
  • Security

2. Create  

    During research
  • Storage during research
  • Formats
  • Version Control
  • File Organisation
  • Documentation

3. Preserve


    After research
  • Data sharing and archiving
  • Data statements
  • Retention periods
  • Selecting data to archive
  • Datasets in Pure

RDM policy


Funders' requirements


Contacts and Training


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