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11 months ago

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FAIR in action - a flexible framework to guide FAIRification - Scientific Data

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FAIR in action - a flexible framework to guide FAIRification - Scientific Data

The COVID-19 pandemic has highlighted the need for FAIR (Findable, Accessible, Interoperable, and Reusable) data more than any other scientific challenge to date. We developed a flexible, multi-level, domain-agnostic FAIRification framework, providing practical guidance to improve the FAIRness for both existing and future clinical and molecular datasets.

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FAIR in action - a flexible framework to guide FAIRification - Scientific Data

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FAIR in action - a flexible framework to guide FAIRification - Scientific Data

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