Our principles
How we collaborate
Every partnership and collaboration at OpenAIRE is grounded in a clear set of principles. These guide how we work, what we expect, and what you can expect from us.
Core principles
The foundation for every collaboration
Whether you are a research institution, an industry partner, a startup, or a civic initiative, these principles apply equally.
Openness by default
Our infrastructure, data, and services are open. Collaboration outputs are open wherever possible. We believe openness strengthens innovation, and we expect our partners to share that commitment.
Transparency and accountability
We are transparent about how we work, how partnerships are governed, and how decisions are made. All collaborations are documented, reviewed, and accountable to our community and governance bodies.
Commitment to our members
OpenAIRE serves a membership of research institutions, funders, and infrastructures across Europe. Every collaboration must benefit the commons and the community we serve, not only the partner.
Respecting existing business models
We understand that industry partners operate within commercial realities. We respect existing business models and work to find arrangements where open science values and commercial sustainability coexist.
Exploring new business models
We are actively interested in co-developing new models for sustainability: shared service offerings, value-added layers on open data, revenue-sharing arrangements, and joint ventures that benefit both parties and the ecosystem.
Reciprocity and mutual benefit
Collaboration is not one-directional. We expect contributions back to the commons, whether that means shared data, open tools, joint publications, community engagement, or capacity building.
Legal and ethical alignment
All collaborations comply with EU legal frameworks including the AI Act, DSM Directive, Data Governance Act, and GDPR. We uphold the highest ethical standards in data reuse, AI training, and knowledge sharing.
FAIR and responsible data practices
Data shared in any collaboration must meet FAIR principles. Provenance, licensing, and reuse rights are always explicit. We advocate for responsible AI and auditable data pipelines.
Interoperability and open standards
We build on and contribute to open standards. Any tools, services, or integrations developed through collaboration should interoperate with the wider open science ecosystem, not create new silos.
Knowledge sharing and capacity building
We prioritise collaborations that build skills and understanding on both sides. Joint training, documentation, and knowledge transfer are integral parts of how we work, not optional extras.
How we work together
Funded or unfunded, we are ready
We collaborate inside funded projects and outside them. The mechanism is flexible. The principles are not.
Within funded projects
OpenAIRE regularly participates in EU-funded projects (Horizon Europe, Digital Europe, national programmes) and welcomes partners who want to include innovation tracks in their proposals. We bring infrastructure, data, community reach, and policy expertise.
Independent of project funding
Not everything needs a grant. We are equally open to direct partnerships, MoU-based collaborations, pilot agreements, and informal explorations. If there is mutual value, we will find a way to work together.
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