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 Jupyter Service provides Jupyterlab servers to the NFDI4Ing community. Jupyter allows interactive programming via the browser in more than 40 programming languages. Via computational notebooks, the code can be enriched with text descriptions, images, videos and more (literate programming).
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.
MetaStore is a research data repository for storing metadata documents and schemas for researchers. Quality and consistency are ensured by associating and validating each (metadata) document against a schema registered in beforehand in the MetaStore. XML and JSON are supported as possible schemas.
The MetadataHub enables easy access to multiple repositories via a uniform interface. Metadata documents can be created, updated, read, deleted, listed and searched for. Currently AIMS, Coscine and MetaStore are supported via their REST interfaces. New repositories could be easily added by adding a specific mapping to the MetadataHub service.