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FAIR-Data-EG / consultation

A call for contributions to the report of the FAIR Data Expert Group
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How FAIR is FAIR? #24

Open CaroleGoble opened 7 years ago

CaroleGoble commented 7 years ago

[//]: # "==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==" Several commentators have started commenting on the FAIR principles themselves

CaroleGoble commented 7 years ago

https://danielskatzblog.wordpress.com/2017/06/22/fair-is-not-fair-enough/

CaroleGoble commented 7 years ago

FAIR Principles are PRINCIPLES. They are not practice or standards. Practice & Standards need to be: • Pragmatic, useful and appropriate to get buy-in and enable adoption • Preferably the least possible - Just Enough not Just In Case • Avoid technical and standards lock-in • Avoid mandating compliance prematurely • Recognise that there are few (any?) green field sites • Offer pathways to legacy adoption • Recognise that there are many "degrees" of FAIR • Recognise that Science doesn’t respect funding borders - it must be a Global activity – not a EU one.

Right now we are in the Wild West with staking claims, with “me too” declarations and a lot of competing and overlapping activities. Which leads to confusion and in the end inertia for those tasked with managing datasets and producing FAIR infrastructure.