Implementing the FAIR Principles

on YouTube ↗20m

" summary

Describes how the FAIR principles move from guidelines to concrete implementations by defining an ontology, a Fair Implementation Profile format and a questionnaire for communities; claims data scientists spend 80% of time on data munging and Europe loses €11.4 billion yearly from non-FAIR data. Implements a machine-actionable pipeline using the FIP wizard and nanopublication-backed persistent identifiers, publishes profiles to a decentralized nanopublication network and exposes them via the Fair Connect portal so communities can search, compare and contribute their chosen technologies.

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" chapters (6)

1. 0:00Introduction to FAIR
2. 1:13Origins of FAIR principles
3. 6:13FAIR principles explained
4. 11:10What FAIR is not
5. 14:01Implementing FAIR in practice
6. 17:06Building FAIR implementation profiles

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