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.
Ellen’s RESODATE will be a service that enables the task- and problem-oriented search and discovery of research data artifacts. Based on formalized procedural information embedded in knowledge graphs, it utilizes relationships between research tasks and methods to organize research software and data according to their possible uses. It aims to support the integration of software and data into executable research workflows that can be used to cover individual information and data requirements.
The Research Data Management Organiser (RDMO) guides researchers through the planning, implementation and administration of all research data management tasks.
It offers structured questionnaires with detailed guidance, enabling efficient and comprehensive data management planning for research projects, ensuring compliance with funding requirements.
The NFDI4ING Q&A platform is here to empower researchers in the engineering sciences with a collaborative space to ask and answer questions about their research data management. Whether you’re a seasoned expert or just starting out, this platform is designed to foster knowledge exchange and support your research journey.
The Open Research Knowledge Graph (ORKG) helps researchers find, compare, and reuse scientific findings efficiently. User can organize research contributions semantically so that both humans and machines can easily understand and use them. With ORKG, you can explore knowledge across various disciplines, stay updated, and collaborate on new research. Additionally, ORKG enhances the visibility of research outputs, facilitating better discovery and innovation in the scientific community.
The NFDI-RFC (Request For Comments) process is adopted from the Internet Engineering Task Force (IETF) standard. This process ensures that NFDI community submitted standards are practical, effective, and widely used within the research community. A review process for the publication of NFDI-RFCs was also designed to ensure that they meet the highest quality and integrity standards.
The NFDI4ING Metadata Profile Service facilitates creation and utilization of FAIR (RDF-based) metadata by making use of metadata profiles that combine terms from existing ontologies into reusable metadata templates. The platform provides functionality for creation, sharing and curation of metadata profiles.
To evaluate the implementation of research data management, maturity models are provided for individual phases, which researchers can use for self-evaluation. The models are aimed at a standardised and optimised implementation of RDM in engineering research projects.
The NFDI4Ing Data Ingest Service is the gateway for enhanced research data publication in architecture and civil engineering. With flexible metadata profiles and automation processes, ing.est visualizes your 3D data, assigns persistent identifiers, and ensures long-term archiving with ease.
