Data Models
According to the DSSC, data models make sure participants in a data space interpret data the same way. Without them, two systems might exchange information but come to different conclusions. This would undermine trust and create errors.
A data model works like a shared dictionary: it explains what each element means and how it relates to others.
Agreeing on a reusable model enables semantic interoperability, so providers and consumers “speak the same language.”
Different organisations have different needs, so data spaces must balance uniformity (to keep things clear and consistent) with flexibility (to fit diverse contexts).
The iSHARE Trust Framework does not prescribe specific models. Instead, data spaces are encouraged to:
Reuse established standards where possible (sectoral or cross-domain).
Define lightweight governance rules for creating, updating, and adopting models.
Focus on lowering barriers so new participants can onboard easily.
Follow standard data sharing guidelines (like OpenID, etc.) while catering to industry-specific requirements.
Well-managed data models help reduce costs, improve interoperability, and make it easier to link datasets across domains.
The guiding questions can help in the co-creation process and in defining this building block, so please see the next section.
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