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.
A discovery platform for engineering data collections, helping researchers find repositories, archives, databases, and datasets with key details on access and usage.
Coscine is an RDM platform enabling researchers to store, manage, share and archive FAIR research data with PIDs and metadata. Access to storage is limited to projects associated with NFDI4ING.
NFDI4ING Software Search Engine helps researchers discover research software by searching repositories and linking them to publications, citations, and enriched metadata.