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Summary Profile: Level 3 “Pretty FAIR”
Level 3 - Capabilities
(WIP/ input needed)
Level 3 - Business value
Department-level data reuse and insight generation; increased effectiveness and efficiency of data resources available in the organization. Reuse of data reduces procurement costs and the need for data generation.
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Are the identifiers for data and metadata persistent?
Does the data and metadata identifier resolution support authentication and authorisation for access?
Does the metadata contain “structured” elements?
Is there a policy for persistence of metadata?
Does the metadata provide a pointer to disclose the owner or license to the data which is readable by machine?
Is a knowledge representation language being used that has ontological machine-resolvable formats?
(WIP input needed): questions that speak to other dimensions
Level 3 - FAIR data
One can find “FAIR” data in local environments such as a company's organization’s departments, divisions or functions.
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Data is “conformed” using a domain-level data model. It is integrated, processed and audited to support specific consumption patterns.
While we achieve Findability “Findability” and there is evidence of re-use at the local level, the "IInteroperability" and "RReusability" principles are still a challenge in the broader scope of the organization.
There are controls in place on Access at the data level.
Creation of analytics-ready 'Martsdata-marts' enabling self-service analytics.Role: Citizen Data Scientist.
Machine interpretation is possible at the department level.
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