ServiceUpdated on 17 January 2026
The I-ADOPT Framework
FAIR Development and Capacity Building Coordinator at GO FAIR Foundation
Leiden, Netherlands
About
The core members of the RDA I-ADOPT Working Group developed a systematic and FAIR way to represent variable descriptions, endorsed by the Research Data Alliance.
Variables define which properties are observed and represented in data. They are central to observational science. However, variable descriptions are often not FAIR: they rely on free text, lack consistent structure, and are difficult to understand, compare, and reuse, especially by machines.
I-ADOPT acts as a semantic broker by enriching existing variable descriptions with human- and machine-readable semantics. It enables interoperability without requiring changes to existing data structures and supports language-independent representations.
To support researchers, FAIR2Adapt and NFDI4Earth are developing the embeddable I-ADOPT Annotator, an LLM-enabled service for creating FAIR variable descriptions. This I-ADOPT service will enable cross-domain interoperability and will add scientific and economic value to observational data
Learn more:
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I-ADOPT RDA recommendations: Magagna, B., Moncoiffé, G., Devaraju, A., Stoica, M., Schindler, S., Pamment, A., & RDA I-ADOPT WG. (2022). InteroperAble Descriptions of Observable Property Terminologies (I-ADOPT) WG Outputs and Recommendations (1.1.0). Zenodo.https://doi.org/10.15497/RDA00071
Applies to
- Service Catalogues, Interoperability, & Integration
- Integrating scientific data repositories
Organisation
Similar opportunities
Request
Fair Digital Objects implementations
Esteban González Guardia
Software Engineer at Universidad Politécnica de Madrid
Madrid, Spain
Product
- Use Case
- Piloting
- Federated AAI
- Co-development
- Federated Compute & Storage
- Service Catalogues, Interoperability, & Integration
Nick Juty
Project Portfolio Manager at The University of Manchester
MANCHESTER, United Kingdom
Project cooperation
HORIZON-INFRA-2026-01-EOSC-02: Trusted frameworks for secure and efficient data sharing in EOSC
Tomasz Miksa
OSTrails
Wien, Austria