Knowledge Graph Infrastructure for the German National Research Data Infrastructure
Knowledge graphs (KGs) are powerful tools for linking research data across disciplines and enhancing interoperability. They play a crucial role in advancing the mission of Germany’s National Research Data Infrastructure (NFDI) by making data FAIR ‒ findable, accessible, interoperable and reusable.
While several NFDI consortia are already developing their own knowledge graph solutions, what is currently missing is a central, reusable KG infrastructure. The proposed basic service aims to fill this gap by providing the following core functions:
- A KG registry which will aggregate information on all knowledge graphs contributed by NFDI consortia and the research communities they represent.
- An access service that will facilitate the sharing and use of knowledge graphs across NFDI projects.
- Support for research communities in creating their own decentralised knowledge graphs through the provision of technologies, standards and expert advice.
To refine and optimise these services, a comprehensive needs assessment will be conducted. Additionally, the basic service will compile documentation, provide consulting and support services to streamline KG creation and facilitate the harmonisation of ontologies to establish a standardised database.
This integrated approach will enhance data integration, foster standardised ontological practices and make a significant contribution to advancing the One NFDI vision. At the same time, it will support international collaboration through partnerships with initiatives such as the European Open Science Cloud (EOSC).
ZB MED’s role in the project
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Develop the central platform
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Coordinate the project and act as spokesperson
Duration
- 1 June, 2024 – 31 Mai, 2025 (Initialisation phase)
Funding body
- German Research Foundation (DFG)
Partners
- ZB MED (NFDI4Microbiota)
- TIB Hannover (NFDI4Culture)
- Mannheim University Library (BERD@NFDI)
- FIZ Karlsruhe (MaRDI)
- ZBW Kiel (KonsortSWD)
- GESIS (NFDI4DS)
