Use Case
Fair Process
We guide organizations through a structured nine-step journey from non-FAIR data to full FAIR compliance: retrieve non-FAIR data, analyze it, define the semantic model, make data linkable, assign licenses, define metadata for each dataset, deploy FAIR data resources, combine with other FAIR data, and enable questions across multiple sources.
Case Study
Maturity Levels
Level 01
Single Use Data: No potential to re-use beyond the lifetime of the research project.
Level 02
Identifiable Data: Individual data objects described by generic metadata elements with limited retrieval.
Level 03
Described Data: Datasets consistently described against a locally defined schema with controlled terminologies.
Level 04
Semantically Typed Data: Compliance with community standard domain models, terminologies, and formats with search and retrieval.
Level 05
Managed Data Asset: Optimally managed at the most granular level with full data governance, master data management, and reference data management.