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FAIR Data Point (FDP) is a metadata service that provides access to metadata following the FAIR principles. FDP uses a REST API for creating, storing, and serving FAIR metadata. FDP […]
To accelerate broad community convergence on FAIR implementation options, the GO FAIR community launched the development of machine-actionable FAIR Implementation Profiles (FIP). The FIP is a collection of FAIR implementation […]
The FAIR Guiding Principles provide guidance when improving Findability, Accessibility, Interoperability and Reusability of digital resources. But they do not dictate specific technological implementations. The GO FAIR Foundation believes that […]
This guide actively supports organisations with challenges regarding data sharing for AI applications. This guide focuses on the guidelines and building blocks to interconnect data spaces. Download the Reference Guide […]
This guide actively supports organisations with challenges regarding data sharing for AI applications. In doing so, this guide focuses on the guidelines and building blocks for individual (sectoral, application-specific) AI […]
