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.
The NFDI4ING Education Platform provides self-paced RDM training tailored to engineering, featuring practical use cases and quizzes to help researchers manage, share, and reuse research data.
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.
The NFDI4Ing conference 2024 will take place on the 18th & 19th September as a virtual event. The call for proposals is now open!
NFDI4Ing’s Special Interest Groups (SIGs) are the place for exchange between NFDI4Ing and interested experts from the community. In the SIG “RDM Training”, we work together on reviewing and improving RDM trainings.
By utilizing large language models to provide an automated method for extracting knowledge from a vast amount of literature and integrating it with the research data management platform, users will be offered more intelligent data management and analysis methods.