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Dimension | Key notions |
FAIR data | Data, metadata, data products |
FAIR leadership | Types of leadership necessary for FAIR implementation |
FAIR strategy | Now, the next FAIR stage and how to get there |
FAIR roles | What kind of (human) roles are necessary for implementation of FAIR data principlesto implement FAIR |
Processes for FAIR | Which processes must we explicitly implement |
FAIR knowledge | What needs to be known (by humans and machines) for FAIR implementation |
FAIR tools and infrastructures | From persistent identifiers to controlled vocabularies to semantic models |
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