Metadata Profile Service
23.10.2024
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The Metadata Profile Service supports researchers or data management staff in the creation of interoperable metadata schemas as RDF-compliant application profiles.
The Metadata Profile Service supports researchers or data management staff in the creation of interoperable metadata schemas as RDF-compliant application profiles.
Jupyter Service lets you spin up a computational environment in your browser, ready to go for coding, data analyzing, and teaching research software engineering.
A platform for publishing architecture and civil engineering datasets with flexible metadata profiles, automated processing, 3D previews, persistent identifiers, and long-term archiving.
MARGE enables secure access to and analysis of HPC datasets at the Leibniz Supercomputing Centre via virtual machines, allowing collaborators to work with the data without transferring it.
The software ecosystem of Kadi4Mat includes different tools and libraries that are built around and on top of Kadi4Mat, the generic and open source virtual research environment.
Kadi4Mat is a virtual research environment that supports the management, documentation, and automation of digital research data. NFDI4ING partner institutions can access an instance hosted by the KIT.
Ing.grid is a scholarly-led diamond open access journal for FAIR data management in engineering sciences.
A Python metadata crawler that automatically retrieves research metadata from script-based HPC workflows. Ontology-based schemas allow flexible collection with minimal setup.
The Field Database Platform (FDP) helps researchers explore field datasets using operational and environmental parameters, improving data discovery, accessibility, and reuse.
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.