DAMAP is an open-source service that helps researchers and data stewards prepare clear, consistent, funder-aligned Data Management Plans (DMPs). It reduces effort by reusing information already available in external services, so researchers do not need to re-enter the same information across different services. By providing structured guidance and machine-actionable outputs, DAMAP improves the quality of DMPs while significantly shortening preparation time.
The project has three objectives:
- deploy DAMAP as a stable operational service within the EOSC Polish Node,
- demonstrate its practical value through scientific cases from diverse research domains, and
- develop a sustainability roadmap for continued operation.
DAMAP will be deployed on the Polish EOSC Node infrastructure, integrated with essential node services, and adapted to national requirements, e.g., the NCN template for DMPs. Scientific use cases will validate the service in real workflows and provide the basis for training materials and workshops. Evidence collected during deployment will feed into a sustainability roadmap covering operational roles, cost models, and legal conditions.
The project is designed to produce outcomes that remain valuable well beyond the funding period. DAMAP is open-source and already in use at three Austrian universities, meaning maintenance and development are not dependent on any single project. By deploying it within EOSC-PL and documenting all steps, configurations, and integration points, the project creates a blueprint that other institutions and nodes can readily reuse.
Scalability is straightforward by design. DAMAP uses standardised APIs to access services, data catalogues, and knowledge graphs, meaning any organisation with similar components can replicate the setup with minimal adaptation. The multi-use-case approach reinforces this: by producing DMPs across different research domains, the project generates widely applicable reference materials that reduce adoption barriers and demonstrate the tool’s versatility across disciplines.
The training programme, spanning webinars, workshops, and data steward-oriented materials, builds capacity that persists after the project ends. Newly trained data stewards act as multipliers within their institutions, supporting continued adoption and informal peer learning. All training materials and use case documentation will be contributed to the EOSC Academy, making them accessible for long-term reuse across other EOSC Nodes.
The sustainability roadmap is central to long-term viability. Co-created with stakeholders, it addresses cost models, responsibilities, legal and GDPR requirements, and operational procedures, giving institutions the clarity they need to commit to DAMAP as a stable service and make informed decisions about implementation.
Finally, DAMAP’s implementation of the DMP Interoperability Framework ensures it can coexist with other DMP tools, keeping it adaptable to evolving national and European service landscapes and supporting both continued use within Poland and wider uptake across EOSC.
