FAIR data

By adhering to FAIR principles, researchers can share and optimally reuse both sensitive and non-sensitive data, maintaining control over their data and the conditions under which third parties gain access.

SURF’s FAIR data roadmap emphasizes the further implementation of these principles, focusing on reproducible research, data governance, and the management of data as a shared digital commodity. Key activities include ensuring that data and software are prerequisites for reproducible research, treating FAIR data as a valuable resource, and supporting data sovereignty and governance. This approach not only aids in responsible and quality research practices but also streamlines the research process, making it easier for researchers to manage their data effectively.

More information

• Knowledge Exchange’s reproducibility report
  Examines the barriers and opportunities for reproducibility in research, offering recommendations for improving transparency and reliability in scientific studies
• e-Science Center’s Research Software Directory 
  Showcases software tools developed by researchers in the Netherlands, promoting visibility, reuse, and collaboration in research software
• LCRDM report on research software sustainability
  This report by the National Coordination Point Research Data Management (LCRDM) provides guidelines and recommendations to ensure the long-term sustainability and accessibility of research software
• The Netherlands Reproducibility Network (NLRN) 
  A community-led initiative focused on fostering reproducibility and robust scientific practices within Dutch research institutions