Making data FAIR but not open

This implementation story discusses approaches in the data archive world towards tackling the challenges of making data as FAIR as possible, when there are compelling reasons for the data to be restricted or unavailable.

This topic was included in FAIRsFAIR deliverable D3.4, Recommendations on practice to support FAIR data principles, under the theme “Ensuring trusted curation of data”. Within that set of recommendations, the FAIRsFAIR project committed to supporting change in good practice for researchers, repositories and ethics committees on selecting and preparing sensitive data to be FAIR. This implementation story aims to support that goal.

Read the implementation story here or see the FAIRsFAIR website for additional implementation and adoption stories.