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.

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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
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article

Persistent Identifiers and Knowledge Graphs - Investigating synergies between the NFDI basic services PID4NFDI and KGI4NFDI

Zenodo (CERN European Organization for Nuclear Research)
Advanced Graph Neural Networks
article

Persistent Identifiers and Knowledge Graphs - Investigating synergies between the NFDI basic services PID4NFDI and KGI4NFDI

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
FIZ Karlsruhe – Leibniz Institute for Information Infrastructure (DE), Zuse Institute Berlin (DE), Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
Advanced Graph Neural Networks
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