From vision to live operations, faster and safer
Whether your organisation is just discovering data spaces or ready to scale an existing initiative, Onecub brings a proven, standards‑aligned playbook to design, fund, build, operate, and grow your data space.
What you get
Clear strategy
Governance & compliance
Reference architecture
Running collaboration platform
Adoption & growth
AI enablement
Our end‑to‑end process
1) Discover
Lay the foundations and de‑risk the investment.
- Mission & objectives aligned to your sector challenges and public interest where relevant.
- Flagship use cases prioritised by impact, feasibility, and data readiness.
- Ecosystem scan of existing data spaces, initiatives, connectors, and standards to leverage.
- Regulatory lens (GDPR, Data Governance Act, Data Act, sector rules).
- Impact model & KPIs: value hypotheses, benefits for data providers/consumers, ROI assumptions.
Key deliverables: Preliminary report, stakeholder map, initial value tree, decision brief.
2) Design
Turn vision into an operable, trusted system.
- Business model & incentives: orchestrator role, membership tiers, pricing, funding mix.
- Governance design & Rulebook: roles & RACI, Rulebook definition, onboarding & vetting, certification, dispute processes.
- Policy & legal toolkit: participation rules, usage‑control policies, data product access rules.
- Standards & technical interoperability: IDS/EDC baseline, Gaia‑X profile/label targets, metadata & policy languages (DCAT, ODRL, SHACL), API patterns.
- Semantics & data modeling: identify sector standard models and vocabularies (e.g., GS1, DATEX II, INSPIRE, HL7/FHIR, schema.org); define a pivot (canonical) data model for cross‑participant data exchange; create model translators/mappings (ontology alignment, code lists, units); validate with sample data products and conformance tests; establish stewardship for versioning and extensions.
- Inter data space sharing & federation: identify peer data spaces to co‑design cross-data spaces use cases with; propose interoperability solutions (identity/trust, semantics, policy, connectors) using a data space federation interoperability framework; agree on profiles, trust anchors, and governance handshakes.
- Security & trust: identity & wallets, auditability, policy enforcement, data sovereignty controls.
- Security & trust: identity & wallets, auditability, policy enforcement, data sovereignty controls.
Key deliverables: Feasibility report, Governance handbook, Rulebook & Rolebook, Policy & Legal pack, Semantic profile & vocabulary registry, Pivot data model & mapping specs (translators), Inter data spaces federation and interoperability framework, Standards profile, Target architecture v1.
3) Fund
Secure the resources to accelerate.
- Funding landscape: national & EU programs, regional calls, public‑private schemes, private co‑investment.
- Consortium building: large companies in your sector, SMEs, startups, research institutions, associations; we help you find partners, co-investors and support organisations.
- Grant writing: use case framing, work packages, budget, KPIs, impact narrative.
Key deliverables: Funding map, partner MoUs, grant proposal support.
4) Build
Ship a secure, standards‑based data space collaboration platform, without vendor lock‑in.
- Make‑or‑buy choices: commercial vs. open source components, Connector‑as‑a‑Service (CaaS) options.
- MVP implementation: data products, contracts/usage policies, sandbox for providers/consumers.
- Security hardening: posture baselines, automated compliance checks, incident runbooks.
Key deliverables: Working MVP in staging, security & compliance checklist, go‑live plan.
5) Adopt
Grow a healthy, self‑sustaining ecosystem.
- Participant recruitment & vetting: onboarding portal, documentation, training kits.
- Developer & data‑provider experience: quickstarts, samples, certification paths.
- ata product lifecycle:D publishing, discoverability, machine‑readable policies, contract automation.
- Community & marketing: launch events, success stories, network virality, incentive programs.
Key deliverables: Onboarding portal & docs, certification checklist, adoption plan.
6) Grow
Keep it trustworthy, measurable, and scalable.
- Use case development: prioritise the pipeline, take pilots to production, track ROI & outcomes.
- Operations: SLOs/SLIs, monitoring & alerts, ticketing, change & incident management.
- Compliance & assurance: audits, labels/certifications, continuous policy testing.
- Business development: sector expansion, partnerships, marketplace curation. AI enablement: agentic and trustworthy AI, privacy‑preserving analytics, federated learning, traceability.
Key deliverables: data space Runbook.