Co-Applicants RWTH Aachen Applicant institution DLR Co-Applicant institution FZJ Co-Applicant institution KIT Co-Applicant institution LU Hannover Co-Applicant institution TIB Co-Applicant institution TU Braunschweig Co-Applicant
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Archetypes Tackling diverse user requirements The engineering sciences are a highly heterogeneous community, with a large number of specialised research (sub-)areas ranging from Architecture all
TUstorage is a document repository containing all kinds of research literature in different file formats. The documents include journal articles, e-books and conference proceedings, mainly in XML and PDF file format. Where available, image and supplementary information files are provided along with the XML versions. Documents under open access licences can be downloaded via an API without the need to register.
The NFDI4ING Terminology Service bundles and standardises access to existing terminologies and semantic models for research data management purposes. They form the basis for clear and meaningful communication between producers and users of research data for their subsequent use in innovative research. Clear communication is a basic prerequisite for innovative research, especially in areas such as the highly complex engineering sciences.
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 is a specification that defines how to use SciMesh graphs in RO-Crates in order to describe the raw data files stored within the crate. It enables researchers to publish and/or share their research results in the richest way possible, i.e. raw data, intermediate data, and workflow graphs combined in one ZIP file.
SciMesh provides a specification and a reference implementation for a knowledge graph schema. It is supposed to represent scientific workflows and insights. While originating in experimental research of the engineering and material sciences, its basic principle is the connection of cause and effect, which can be applied to most empiric research. Its applications range from research publication over data exchange between electronic lab notebooks to timestamping of scientific work in blockchains.
