SHARE DATA WITHOUT SURRENDERING IT

Sovereign Data Spaces

Share and exchange data across organisational boundaries without relinquishing ownership — federated, governed, and compliant by architecture. Collaborate on insights, not raw data dumps, with every sharing agreement enforced in code.

Secure Data Marketplace

A curated catalogue of compliant data products with automated governance and preview — discover and acquire sovereign data while residency stays under your control.

Federated Sharing

Share data products across organisations without replication or centralisation — collaborate on insights, not raw data.

Smart Data Contracts

Policy-as-code agreements that enforce themselves — compliance by architecture in every sharing relationship.

Definition

Data Spaces are governed, federated environments for sharing and exchanging data across organisational boundaries without surrendering ownership or control. Built on the principles of European data-sharing initiatives such as Gaia-X, they let organisations discover, contract for, and use each other's data products through policy-as-code agreements — so data is collaborated on in place, never centralised or copied out of your perimeter.

Most data collaboration still means copying data out of one organisation and into another — losing control of it the moment it leaves. Sovereign Data Spaces invert that model: data stays with its owner, and access is granted through governed, self-enforcing agreements. Partners, suppliers, agencies, and allies can build on shared data products without anyone giving up sovereignty — true federated collaboration with provenance and compliance built in.

Where it fits

Data Spaces in the Scrydon platform

One integrated, sovereign architecture. Here is where Data Spaces sits — highlighted against the full stack it works with.

New Customer
Sync CRM
Verify ID
In Progress
Create Profile
Check Rules
Approve
Completed
Provision
Welcome

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In [1]:
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Conversational Intelligence: Natural language interface that seamlessly connects your ontology, multi-modal data, and sovereign workflows.
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Link your processes, knowledge & data to ontologies.

Unified storage, structured compute, and secure multi-modal data processing.

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Autonomous operatives with specialised skills executing tasks across systems.

AI Workflows

Sovereign pipelines, federated APIs, and seamless connector meshes.

Secure domain federation, trusted data sharing, and cross-boundary intelligence.

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A closer look

Data Spaces in depth

Federated Data Exchange
Organisation A
Data Owner
IDSAProtocol
Organisation B
Data Consumer
Usage Policies EnforcedNo Central BrokerCryptographic AttestationGDPR Compliant
Gaia-X · IDSA · Eclipse Dataspace Components

Data Spaces

Data Spaces enable trusted, governed data sharing between organisations without requiring centralised aggregation or relinquishing ownership. Built on IDSA and Gaia-X principles, they allow cross-boundary collaboration whilst preserving every participant's sovereignty.

  • Usage policies: Define exactly how, when, and by whom shared data may be used — enforced cryptographically, not by trust alone.
  • Federated identity: Participants are verified through trusted identity registries, ensuring only authorised organisations access shared assets.
  • No central broker: Data exchanges are peer-to-peer with protocol-level governance — no single party holds privileged access to the exchange.
FEDERATED BY DESIGN

Collaborate on data without giving it away

Data Spaces let organisations share data products through governed agreements while the data itself stays with its owner. Instead of copying data into a central lake, each participant exposes compliant products that others can discover, contract for, and use in place — so collaboration never means surrendering ownership.

  • Data marketplacePublish and discover compliant data products in a curated, governed catalogue.

  • Federated sharingShare across organisational boundaries without replication or centralisation.

  • Smart data contractsPolicy-as-code enforces compliance automatically in every sharing agreement.

  • Lineage & provenanceFull traceability of where data came from, how it changed, and how it is used.

WHY DATA SPACES

Sovereignty and collaboration, at the same time

Cross-organisational value — supply chains, research consortia, public-sector and allied data sharing — has always traded control for collaboration. Sovereign Data Spaces remove that trade-off: data stays in each owner's perimeter, governed by self-enforcing contracts, so partners build on shared products without anyone losing sovereignty. It is the European, Gaia-X-aligned model for data collaboration applied across your ecosystem.

FAQ

Frequently asked questions

What is a data space?+
A data space is a governed, federated environment for sharing and exchanging data across organisational boundaries without surrendering ownership or control. Participants expose compliant data products that others can discover and use in place, through policy-as-code agreements — so data is collaborated on rather than copied out of each owner's perimeter.
How is a data space different from sharing files or a central data lake?+
Copying files or centralising data into a shared lake means losing control of it the moment it leaves your perimeter. A data space keeps data with its owner: access is granted through governed, self-enforcing contracts, and partners collaborate on insights and data products in place — no replication, no loss of sovereignty.
Are Scrydon Data Spaces aligned with Gaia-X?+
Yes. Scrydon's Data Spaces follow the principles of European data-sharing initiatives such as Gaia-X — federated, sovereign, and interoperable — so organisations can share data across boundaries while keeping ownership, residency, and compliance under their own control.
What are smart data contracts?+
Smart data contracts are sharing agreements expressed as policy-as-code. Instead of relying on manual review, every agreement enforces its own compliance, access, and usage rules automatically — so governance is built into the architecture of each data-sharing relationship rather than bolted on after the fact.
Can data be shared without copying it?+
Yes. Data Spaces are built for federated sharing: data products are exposed and used in place rather than replicated or centralised. Partners collaborate on the insights and outputs without raw data ever leaving its owner's perimeter, with full lineage and provenance throughout.

Email us

Prefer to write? Email hello [at] scrydon.com and we will get back to you.

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