DMP4NFDI is the basic service for all consortia. We support consortia with DMPs and SMPs.
We work closely with consortia to
By fostering collaboration, standardisation, and machine-readability, DMP4NFDI enhances communication between stakeholders and ensures that DMPs become powerful tools for research planning and data sharing. Together, we make data management seamless and impactful for all disciplines!
Join us in advancing the NFDI’s vision for a unified and innovative research data management ecosystem!
While DMP4NFDI initially focused on DMPs, we are expanding our expertise to include SMPs during the integration phase. With the support of dedicated experts, we aim to address the growing importance of SMPs for managing software resources and workflows in research.
During the initialisation phase, DMP4NFDI established a multi-tenant RDMO instance with community-specific, customisable clients for several consortia, with some already in productive use (NFDI4ING, NFDI4Chem, NFDI4Culture, FAIRagro) and others in testing environments (NFDI4Memory, NFDI4Earth, MaRDI) to prepare templates and plugins. For template development, we organised several workshops and exchange meetings with consortia and the broader RDM community to collect requirements and feedback, resulting in the publication of the first version of the NFDI DMP Template Framework. The framework ensures interoperability across consortia templates by defining a common vocabulary and supports consortia by providing a reusable and adaptable DMP template available in text form and as an RDMO catalog. We also supported consortia in developing customised RDMO plugins to connect RDMO directly to sensor databases (NFDI4Earth), Zenodo (NFDI4Biodiversity), and knowledge graphs (MaRDI). Completing the framework approach, we gathered requirements for DMP training and developed a train-the-trainer concept.
To prepare for the further integration of consortia during the next project phase and build on experiences from the initial integration use cases, we developed a service cooperation model that describes the responsibilities and collaboration mechanisms between consortia and DMP4NFDI, and which will iteratively be refined in the course of our collaborations.