Dataspaces
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A data space (dataspace) is a trusted ecosystem for sharing data across organizational boundaries while each participant keeps sovereignty over assets. Participants publish discoverable offerings, negotiate contracts, and exchange data under agreed rules instead of copying everything to a central warehouse.
The International Data Spaces Association (IDSA) defines reference architecture and certification for trustworthy data spaces. Gaia-X promotes a federated, open European cloud/data infrastructure with common trust, identity, and interoperability building blocks. Initiatives like Catena-X show sector-scale dataspace operation in practice.
Technically, many sovereign dataspaces use a connector pattern: each participant runs software that exposes a catalog, negotiates usage contracts, and transfers data only after policy checks pass. Eclipse Dataspace Components (EDC) implements this connector stack as open source. MAT-X local participant setup is based on EDC plus a semantic RDF layer.
Further reading
- Data space (Wikipedia) - concept overview
- EDC documentation - architecture and APIs
- Gaia-X technical documentation - trust framework and interoperability
- IDS Reference Architecture Model (RAM) - layers, roles, and building blocks
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