We incorporated comments and feedback from the NFDI4ING community into this updated version to better support data management planning and make use of new features in RDMO.
We are once again looking for researchers in the engineering sciences to share with us their experiences and needs for handling research data.
The Terminology Service provides a consolidated single-access point for human and machine users for processing terminologies and semantic models in research data management.
Alex’ Knowledge Base offers a clear and practical entry point into the work of the NFDI4ING task area addressing challenges connected to one-of-a-kind, highly-variable experiments. It not only showcases the developed tools and services but also provides helpful guides and workflow recommendations. It’s a useful starting point for researchers fitting the Archetype Alex looking for support in navigating their research data management tasks.
SM4RO-C specifies how to use SciMesh graphs in RO-Crates to describe raw research data. It enables sharing research results (raw data, intermediate data, and workflows) in one package.
SciMesh is a knowledge graph schema that models scientific workflows and insights through cause-effect relationships, supporting research publishing, data exchange, and documentation.
The Research Data Management Organiser (RDMO) offers structured questionnaires with detailed guidance, enabling efficient and comprehensive data management planning for research projects.
The Open Research Knowledge Graph (ORKG) helps researchers find, compare, and reuse scientific findings efficiently.
The NFDI-RFC process, inspired by the IETF model, enables the community to propose and review standards, ensuring they are practical, high-quality, and widely adopted in research.
The Metadata Profile Service supports researchers or data management staff in the creation of interoperable metadata schemas as RDF-compliant application profiles.