# Data Interoperability

For a data space to function, everyone needs to speak the same language. According to DSSC, data interoperability is about making sure both people and systems can interpret shared data in the same way consistently. This has two sides:

* Semantic interoperability: agreeing on the meaning of terms and concepts  (e.g., what counts as a "delivery date” or a "location").
* Technical interoperability: agreeing on the syntax and formats (e.g., API, data model, or message structure used to exchange the information).

In addition, it's also important to track where data came from, how it has been used, and by whom. This is where provenance and traceability of data come in, providing the evidence needed for auditing, compliance, or regulated industries. 

Within this pillar, we focus on three building blocks:

1. [Data Models](https://blueprint.dssc.eu/?pane=technical\&technical=data-models): defining and reusing shared semantics so participants “speak the same language.”
2. [Data Exchange](https://blueprint.dssc.eu/?pane=technical\&technical=data-exchange): setting up the actual flow of data between participants, usually through open and standardised APIs.
3. [Provenance, Traceability & Observability](https://blueprint.dssc.eu/?pane=technical\&technical=provenance-traceability-observability): capturing evidence of the data-sharing process so its transparent and verifiable.

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See the complete DSSC description [here](https://blueprint.dssc.eu/?pane=technical). 
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