metadata4ing
20.04.2026
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Metadata4ING allows to describe research processes and their results in a semantic and machine actionable way.
Metadata4ING allows to describe research processes and their results in a semantic and machine actionable way.
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.
The Research Data Management Organiser (RDMO) offers structured questionnaires with detailed guidance, enabling efficient and comprehensive data management planning for research projects.
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.
A platform for publishing architecture and civil engineering datasets with flexible metadata profiles, automated processing, 3D previews, persistent identifiers, and long-term archiving.
DataDesc is a framework that allows describing data models of software interfaces with machine-actionable metadata. The framework provides a specialized metadata schema, an exchange format and support tools for the easy collection and automated publishing of software documentation. DataDesc practically increases the FAIRness, i.e., findability, accessibility, interoperability, and the reusability of research software, as well as effectively promotes its impact on research.
SciKGTeX is a LaTeX package that lets researchers annotate key research contributions in their papers and embed them in PDF metadata, improving discoverability for search engines and knowledge graphs.