FAIR Data Principles in Life Sciences: A case for Data Intelligence Cloud
Collibra
MAY 25, 2022
At its core, FAIR aims to break down data silos by providing guidelines to make data: Findable – metadata and data should be searchable and should be easily located. Accessible – metadata and data should be accessible to users. Additionally, metadata should include qualified references to other metadata.
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