Persistent Identifiers and Knowledge Graphs - Investigating synergies between the NFDI basic services PID4NFDI and KGI4NFDI
Persistent Identifiers (PIDs) and Knowledge Graphs (KGs) play crucial roles within the National Research Data Infrastructure (NFDI), advancing the findability, accessibility, interoperability, and reusability (FAIR) of research data. The PID4NFDI basic service builds sustainable infrastructures for the long-term identification of digital resources. At the same time, KGI4NFDI supports the construction of knowledge graphs that integrate diverse datasets, enabling semantic connections and advanced data discovery. Here, we briefly explore the synergistic potential between PID4NFDI and KGI4NFDI, aiming to identify shared strategies, technical intersections, and future collaboration opportunities.
Institutions
- FIZ Karlsruhe – Leibniz Institute for Information Infrastructure (DE)
- Zuse Institute Berlin (DE)
- Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-04
- DOI
- https://doi.org/10.5281/zenodo.16736128
- Primary Topic
- Advanced Graph Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00