Linking community and technology to enable FAIR data

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Linking community and technology to enable FAIR data

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 Read these articles to get started

When you first start with data management, things can look a bit daunting. There are whole bunch of terms and tools that you have never heard of. Research data management refers to how you handle, organise, and structure your research data throughout the research process. For general information, best practices and tips about research data management throughout your research project, please visit the RDM guide.
To help you get started, we collected articles and videos about the basics of data management. 

FAIR data

The FAIR Principles recommend that all research data should be Findable, Accessible, Interoperable and Reusable, for both machines and people.

Personal Health Train

The Personal Health Train aims to connect distributed health data and create value by increasing the use of existing health data for citizens, healthcare, and scientific research.
Watch the video explaining the Personal Health Train concept.

Additional information

  • The Handbook for Adequate Natural Data Stewardship (HANDS) promotes good data stewardship. It provides guidelines on data stewardship as well as a practical toolbox for researchers at the Dutch University Medical Centres (UMCs). It offers direction and information for all people involved in data stewardship, from researchers and data stewards, to policy makers and developers of IT infrastructure. 
    Handbook for Adequate Natural Data Stewardship.
  • The Data Management Expert Guide is designed by European experts to help (social science) researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR).
    Data Management Expert Guide.

If you still have questions, take a look at our FAQ's.

Data management FAQ's