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Structured pathways for industry collaboration

A trusted mechanism for collaboration with industry. From data platforms and publishers to AI developers and analytics firms, we co-create value from open research.
Industry Engagement Programme
Engagement Tracks

Five tracks, clear pathways

Each track offers structured activities with mutual benefits, from data exchange and AI validation to compliance clarity and shared skills.

Data

Data Partnerships

FAIR, lawful reuse of research data and metadata for AI and innovation.

Labs

Innovation Labs

Co-develop analytics and AI tools from open data into actionable insights.

Policy

Compliance and Policy

Test frameworks for data licensing, reuse and responsible AI under EU law.

PRACTICE

Community and Ecosystem

Roundtables, innovation sprints and challenge calls.

Training

Training and Capacity

Joint bootcamps, OpenPlato courses and staff exchanges.

How to participate

Three levels of engagement

Choose the level that fits your organisation, from strategic partnership to community participation.

Partner

Strategic

Long-term collaboration through MoU or agreement. Deep integration across tracks.

  • "OpenAIRE Industry Partner" label
  • Co-design rights on new services
  • Governance participation
  • Priority technical support
  • Joint branded outputs

Collaborator

Project-based

Participate in one or more tracks through a specific project or theme.

  • Recognition as project collaborator
  • Shared results and data exchange
  • Access to pilots and sandboxes
  • Joint training opportunities

Affiliate / Observer

Community

Join community events, roundtables and webinars. Stay informed and build connections.

  • Early insights on developments
  • Networking with ecosystem
  • Access to materials and resources
  • Invitations to events
What is it in for industry

Why partner with OpenAIRE

Industry actors engaging with OpenAIRE gain concrete advantages across data, compliance, reputation and innovation.

Evidence-based Analytics

Collaborate on innovation foresight, identifying technological trends and market opportunities from open research data.

Authoritative Data Access

Access machine-readable scientific data and relationships via the OpenAIRE Graph and APIs.

Alignment with EU legal frameworks

Reduce compliance risks through alignment with EU legal frameworks (AI Act, DSM Directive, Data Governance Act).

Data Interoperability

Co-develop and test solutions that improve data reuse, provenance and interoperability across systems.

AI Model Validation

Validate and train AI models on high-quality, FAIR, provenance-rich scientific corpora.

Set values forward

Enhance reputation and trust through partnership with a European non-profit infrastructure serving the common good.

What makes us unique

Quantity

Continuous scolarly communication works growth.

Materials

Complimentary training and support material available.

Trust

Established in Europe and following EU guidelines and FAIR principles.

Support

Available support channels.

Quality

Trusted for data accuracy and quality.

Security

Authentication protocols and respect to GDPR for integrity of data and user's information.

Ethics

Ethical usage of AI.

Transparency

Open Science trasparency of metadata information.