Build and augment your data space collaboration tools
- A data space is an ecosystem of organisations that want to share data and services between each other. Two technological pillars make it work:
- Connectors: per DSSC (Data Space Support Centre), a data space connector is the set of technical modules each participant runs to discover, negotiate, and transact under agreed policies. Data space connectors create a link between a participant organisation of a data space and the decentralised and federated network.
- A collaboration platform: the shared environment where all participants interact, define common policies, discover each other (marketplace), create sharing use cases (use case factory), contractualise, and operate day-to-day workflows.
What a data space collaboration platform includes
1) Governance & participation
- Rulebook management: roles, onboarding, eligibility, obligations, dispute processes, sub-domain management. .
- Working groups & decisions: proposals, votes, versioning of policies and technical profiles.
- Compliance evidence: attestations, labels/certifications, audit trails.
- State ↔ private-sector bridge: connect state identities and qualified trust services (eSeals/eSignatures) to sector identities (supplier IDs, professional registers).
- Standards-aware: work across SSO patterns, verifiable credentials, and connector ecosystems.
- Privacy-preserving data clean rooms: compute insights/matches without exposing raw data between data space participants.
2) Sharing & contracting
- Marketplace / catalogue: publish and discover data products, APIs, and services.
- Contractualisation tools: offers, requests, negotiation, machine-readable terms and usage policies.
- Execution monitoring: fulfilment status, SLAs/SLIs, incidents and change management.
3) Core data space services
- Identity & access: persons and organisations, verifiable credentials, delegation/mandates.
- Resource catalogues: datasets, services, and lineage/quality metadata.
- Vocabularies: vocabulary hubs, pivot ontologies and schemas, translators.
- Contracts & consent registries: purposes, scopes, retention, revocation.
- Policy & usage control: enforce at negotiation and at run-time (in/out-bound).
- Interoperability: federation for intra- and inter-data space sharing, cross-technological stacks, legacy systems.
- Security & trust: logging, attestation, certification, key management.
- Operations: monitoring, billing/settlement, notifications, reporting.
4) Value-added accelerators
- Open data portals alongside controlled sharing.
- EUDI-ready Identity Wallets for persons and organisations (identity, consent, permissions, mandates).
- Agentic AI frameworks for compliant, human-in-the-loop automation with AI agents and assistants.
- Cloud & data platforms (PaaS, data lakes/warehouses) where needed, without centralising shared data.
How Onecub helps
Connector & platform integration
We partner with multiple connector and collaboration platform providers (e.g., Amadeus, Visions, Sopra Sterai, Atos Eviden, deltaDAO, and others) to deploy interoperable data space tools fast.
Tailored architecture
Reference designs aligned to your sector’s and your data space Rulebook, identity model, and interoperability profiles.
Data spaces building blocks
We partner with multiple providers of data space building blocks that can augment your collaboration platform.
Run & evolve
Operations playbooks, KPIs/SLIs, release management, and continuous compliance.
Reference projects
EONA-X
Master architecture blueprint for the collaboration platform, including core and value-added components and integration patterns.
Legal Data Space
Collaboration platform architecture plus an integration playbook to onboard and orchestrate multiple solutions.