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 data spaces.
Download the Reference Guide for Intra AI Data Space interoperability
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
