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Although we have metrics, we also recognise that there is no one definition of what is FAIR, as this depends on many factors including stakeholders viewpoints and purpose. Along with metrics we need a multi-level Maturity Model or readiness model
Thanks for this @CaroleGoble - very useful. I completely agree with you that FAIR is a scale and even small steps to improve the FAIRness of data are incredibly beneficial
[//]: # "==Do not write above this line== Instructions for posting issues: (1) Review what is already there. Perhaps a comment to an existing issue would be more appropriate than opening a new one? (2) Write your post below using Markdown (as per https://guides.github.com/features/mastering-markdown/ ) or just plain text. (3) Don't worry about these introductory lines - you can leave or delete them, as they won't display anyway (you can check this via Preview). (4) Hit the 'Submit new issue' button. ==Write below this line==" Although we have metrics, we also recognise that there is no one definition of what is FAIR, as this depends on many factors including stakeholders viewpoints and purpose. Along with metrics we need a multi-level Maturity Model or readiness model
One thing for sure - FAIR is not not ALL OR NOTHING. Must be Incremental.