USE CASE · INTEROPERABLE DATA SPACES

Sovereign Data Spaces

Cross-organisation data made discoverable, reusable and trusted. Each organisation retains full sovereignty over what it shares, with whom, and under what conditions.
CONTEXT

A national government administration needed its agencies to share data without losing control of it.

Dozens of agencies holding data in separate systems, with no common layer to make it discoverable or trusted across organisational boundaries. The administration needed interoperability without centralisation.

500+

data sources connected across agencies and organisations without centralising them

Zero

data migration required. Each organisation keeps full sovereignty over its own systems and data

Weeks

to first governed data products published and accessible via API

WHAT IT DELIVERS

Data that can be shared across organisations without losing control of it.

Every dataset becomes discoverable and accessible to authorised agencies and developers. No migration, no duplication, no loss of control.

Data stays in each organisation’s own systems. There is no central repository. Each agency controls what it publishes and who can access it.

All datasets are published through a single, discoverable catalogue. Authorised users find and access what they need without requesting exports or bespoke integrations.

Adding a new organisation to the data space requires connecting their systems and setting access rules. Nothing else changes.

RESULTS

What to expect during the demo call

01

Data silos across organisations replaced by a common governed layer

Agencies and organisations that could not previously share data reliably now do so through a common, trusted infrastructure, without losing control of their own data.

02

New digital services built on reliable, discoverable data

Developers and service designers access governed data products through APIs, without manual exports or bespoke integrations. New services are built faster and on data that can be trusted.

03

Open data and data-sharing obligations are met from the same infrastructure

The same infrastructure that serves internal users also publishes data to citizens, businesses and regulators. Compliance with open data obligations and national interoperability frameworks, including UNE 0087:2025, is structural, not a separate project.

HOW IT WORKS

Connect without centralising. Govern without constraining.

Three steps. No new infrastructure. No data migration.

What it looks like in a national government administration

  • 500+

    Data sources connected

    Across agencies and organisations, without moving or centralising any of it.

  • Zero

    Data migration required

    Each agency’s data stayed in its own systems. The governed access layer connected everything without replication.

  • Weeks

    To first governed data products

    Published and accessible via API from existing agency systems, aligned with DCAT-AP-ES.

  • One

    Portal replaced

    The existing open data portal was replaced without a data migration project. New cross-agency services launched from the same foundation.

RELEVANT INDUSTRIES

Where sovereign data spaces create the most impact

Most relevant where data needs to be shared across organisational boundaries without losing sovereignty, governance or traceability.
PUBLIC SECTOR

Governed data sharing across agencies and public services, with each institution retaining full data sovereignty.

ENERGY

Grid and emissions data shared across operators, regulators and market participants, governed for CSRD compliance.

HEALTHCARE

Health data shared across providers and authorities, with privacy compliance and no centralisation of patient data.

PUBLIC SECTOR

Governed data sharing across agencies and public services, with each institution retaining full data sovereignty.

ENERGY

Grid and emissions data shared across operators, regulators and market participants, governed for CSRD compliance.

HEALTHCARE

Health data shared across providers and authorities, with privacy compliance and no centralisation of patient data.