One of the grand challenges of data-intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows.

The FAIR Data Principles is a set of guiding principles to make data Findable, Accessible, Interoperable, and Reusable.

However, those principles are not orthogonal and have not been designed for automated machine-based evaluation. To this end, we have adopted the Netherlands Institute for Permanent Access to Digital Research Resources (DANS) metrics for FAIR compliance.

Download the GARDIAN guide for FAIR data


In our case, FINDABLE is defined by identifier, metadata and/or documentation, as follows:

  • Level 0: No PID, no metadata and/or documentation (FAIR Points = 0)
  • Level 1: No PID and insufficient metadata and/or documentation (FAIR Points = 1)
  • Level 2: No PID but sufficient Metadata and/or documentation (FAIR Points = 2)
  • Level 3: No PID but extensive metadata and/or documentation (FAIR Points = 4)
  • Level 4: PID with extensive metadata and/or documentation (FAIR Points = 4.5)
  • Level 5: (Meta)data are registered or indexed in a searchable resource (FAIR Points = 5)
How we measure Findability


In our case, ACCESSIBLE is defined by presence of user license and access to metadata and physical files, as follows:

  • Level 0: No user license / unclear conditions of reuse (FAIR Points = 0)
  • Level 1: Limited access (FAIR Points = 1)
  • Level 2: Open Access (with restrictions) (FAIR Points = 2)
  • Level 3: Open Access (unrestricted) (FAIR Points = 3.5)
  • Level 4: Access to physical files is provided (FAIR Points = 4.5)
  • Level 5: Metadata are accessible (even when the data are not or no longer available) (FAIR Points = 5)
How we measure Accessibilty


In our case, INTEROPERABLE is defined by the data format (a modified version of Tim Berners-Lee’s 5- star open data plan), contextual information and knowledge representation language, as follows:

  • Level 0: Proprietary, non-open format data (FAIR Points = 0)
  • Level 1: Proprietary format, accepted by Certified Trusted Data Repository (FAIR Points = 1)
  • Level 2: Non-proprietary, open format (FAIR Points = 2.5)
  • Level 3: Data is additionally harmonized, using standard vocabularies (FAIR Points = 3.5)
  • Level 4: (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation (FAIR Points = 4.5)
  • Level 5: Data is additionally linked to other data to provide context (FAIR Points = 5)
How we measure Interoperability


We consider reusability as the result of the other three FAIR dimensions, that is, R=(F+A+I)/3.