# Interoperability architecture for data spaces

**Authors:** Juha-Pekka Soininen, Carlos Fernández Sánchez, Stefano Modafferi, Stuart Campbell, Noel Tomas, Eliot Salant, Christina Manara, Jarmo Kalaoja, Soumya Kanti Datta

PMC · DOI: 10.1016/j.dib.2026.112678 · 2026-03-09

## TL;DR

The paper introduces an architecture to enable data exchange between different data spaces using shared agreements and services.

## Contribution

A novel interoperability architecture (DSIA) is proposed for data spaces with minimal governance and deployment complexity.

## Key findings

- DSIA enables data sharing across data spaces with different technologies.
- Validation shows benefits like low governance overhead and easy deployment.
- DSIA compares favorably to other interoperability approaches.

## Abstract

This paper presents an interoperability architecture for data spaces (DSIA), allowing members of the different data spaces using different technologies and services to exchange data. The DSIA builds on the existing trust of data space members and extends it through shared agreements and additional federation and participant services. The DSIA consists of four components: sub-systems for data sharing across data spaces, data pipeline, deployment, and a set of supporting applications for users. The DSIA has been validated with DS2 implementations and compared to other interoperability approaches. The main benefits are minimal independence to interacting data space technologies, little governance overheads, and easy deployment for existing data space participants and authorities’ systems.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

14 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13015208/full.md

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Source: https://tomesphere.com/paper/PMC13015208