Data Sharing and Archive

There are different ways of sharing your data:

  • Peer-to-peer:  Via email, posting to a website, etc.
  • Archiving in a specialist data centre eg. NERC's British Atmospheric Data Centre, or the UK Data Archive.
  • Self-archiving in an 'open access' repository (some funders now mandate that raw data be archived alongside final results)
  • Archiving in an institutional repository eg. the University of Oxford's Databank, currently being piloted. 

Some funding organisations have adopted data sharing policies that encourage or oblige researchers to share research datasets, findings and outputs, in order to facilitate the validation of results and further work by other researchers.

The following pages will help you consider related issues, and how to comply with relevant requirements.

Links to further information and resources

Subject-specific guidance

  • Social Sciences: The UK Data Archive provides an advice page on How to Share Data, aimed at researchers working in the social sciences and some humanities disciplines. Teaching materials for a classroom-based course on Sharing Your Data are also available.
  • Creative Arts: Unit 3 of the CAiRO Project’s self-study materials explores the questions that need to be addressed as a creative arts research project draws to a conclusion.
  • History: The Institute of Historical Research offers an online self-study course on Data Preservation.
  • Archaeology: The Archaeology Data Service’s Guides to Good Practice include sections on Data Selection and The Project Archive: Storage and Dissemination.
  • Archaeology: Module 6 of the DataTrain Archaeology teaching materials covers archiving digital data, while Module 5 deals specifically with e-theses.
  • Social Anthropology: Module 3 of the DataTrain Social Anthropology teaching materials (aimed at advanced doctoral students and early career researchers) looks at long-term curation and allied ethical and legal issues.
  • Health-Related Disciplines: Session 2 of the DATUM for Health teaching materials gives an overview of the data curation lifecycle, including checklists for various stages of the process.