About RDM

Research data management is a general term covering how you organize, structure, store, and care for the information used or generated during a research project. It includes:

  • Planning how your data will be looked after – many funders now require data management plans as part of applications
  • How you deal with information on a day-to-day basis over the lifetime of a project
  • What happens to data in the longer term – what you do with it after the project concludes
  • Definition of data

    The University of Oxford Policy on the Management of Research Data and Records uses the following definition for data:  

    the recorded information (regardless of the form or the media in which they may exist) necessary to support or validate a research project’s observations, findings or outputs“.

    In practice, the nature of research data can vary widely depending on discipline:  it can be textual, numerical, qualitative, quantitative, final, preliminary, physical, digital or print.

  • Benefits of research data management

    Data management is a key part of responsible research.  Good practice in managing your data will ensure benefits ensue for you, your fellow researchers and the wider public.

    • Funding and regulatory body requirements are met.
    • Research data remains accurate, authentic, reliable and complete.
    • Duplication of effort is kept to a minimum.
    • Research data keeps its integrity and research results may be replicated.
    • Data security is enhanced, thus minimising the risk of data loss.
  • Additional information