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Summary Profile: Level 5 “FAIRest of them all.”
Level 5 - Capabilities (input needed)
input needed
Level 5 - Business value
Ability to exchange and augment data sets across organizations. Cross-organizational insight generation. Machine actionability. Increased cost-effectiveness of FAIR infrastructure investments (cost-sharing across organizations). Secondary reuse of data (e.g., clinical trials). Real-world evidence data-mining and improved patient outcomes. Enhanced drug development efficacy (e.g. drug repurposing) and reduced time-to-market.
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Does the data and metadata make strict use of ontologies and vocabularies that are themselves, FAIR
Does the metadata for the data contain links that resolve to different data sources?
Does the data and metadata meet the standards required by the community or a particular application?
What are the mechanisms to maintain cross-company references, for example controlled vocabularies?
(WIP input needed): questions that speak to other dimensions
Level 5 - FAIR data
All organization functions and units adhere to FAIR data principles as much as relevant, emphasizing data Findability and Accessibility. The need for data to be Interoperable and Reusable across internal and external data standards, potentially driven by regulatory compliance, is fulfilled.
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The organization actively shares its learnings internally and externally, among others, through communities of practices. Processes are in a position to align data harmonisation efforts beyond the organization, such as feedback loops with standard-setting bodies. Mechanisms exist to sustain metadata across organizations, including update and feedback processes between data vendors and consumers.
organizational Organizational practices embed FAIR data principles compliance, with a commitment to maintaining this compliance in the future. This holistic approach ensures the embedding of FAIR principles in every facet of data management and exchange within and outside the organization.
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