Linking community and technology to enable FAIR data

RDM Portal login

Page tree

Linking community and technology to enable FAIR data

Skip to end of metadata
Go to start of metadata

 Get started with learning about data management

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. The video below gives a short introduction into research data management.

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 have become a well-known concept as the science community is moving towards transparent, reproducible and Open Science. The FAIR Principles recommend that all research data should be Findable, Accessible, Interoperable and Reusable, for both machines and people.

More information about FAIR

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.

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