3PFF
the Three Point FAIRification Framework
About the Framework
The Three-Point FAIRification Framework (3PFF) provides practical “how to” guidance to stakeholders seeking to “go FAIR”. The principle goal of the 3PFF is to maximize reuse of existing resources, optimize interoperability, and accelerate convergence on standards and technologies supporting FAIR data and services.
As the name suggests, the 3PFF focuses attention on 3 key decision points in FAIRification which are described in more details below. The GO-FAIR Foundation has also developed an accompanying 3PFF Concept Base.
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[FIP] FAIR Implementation Profile
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[M4M] Machine Actionable Metadata
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[FO] FAIR Orchestration
FAIR Implementation Profile
The FAIR Implementation Profile (FIP) is a published record of domain-relevant standards to implement FAIR, as agreed by the members of a community. FIP workshops guide participants in the creation and maintenance of their community-specific FIP. This serves as a baseline record of community readiness and reveals where standards or infrastructure are still missing.
Machine Actionable Metadata
In Metadata for Machines (M4M) workshops communities are guided to execute the FAIRification process—building, modeling, and publishing reusable, machine-actionable FAIR vocabularies and metadata schemata based on domain-relevant requirements and other data policy considerations. The ultimate result of these efforts are FAIR Digital Objects (FDOs).
FAIR Orchestration
Guided by their completed FIPs and metadata schemata, communities configure their actual FAIR infrastructure. Through FO workshops, participants learn to select and combine fit-for-purpose components—such as deploying FAIR Data Points (FDPs) or implementing Data Visiting Strategies—to participate in a global Internet of FAIR Data and Services.