Identifying NFDI Consortia with Persistent Identifiers

This document presents the official recommendation of the PID4NFDI Coordination Hub for assigning persistent identifiers (PIDs) to the consortia of Germany’s National Research Data Infrastructure (NFDI). To ensure consistent, interoperable, and FAIR identification across the NFDI landscape, PID4NFDI recommends the use of DataCite Digital Object Identifiers (DOIs) with the resource type “Project” as the authoritative identifiers for NFDI consortia. The proposed approach reflects the specific nature of NFDI consortia as collaborative, project-based alliances without independent legal status, which fall outside the scope of organizational PID systems such as ROR (Research Organization Registry). At the same time this approach avoids potential conflicts or problems with the German revenue administration. DataCite DOIs offer a mature, transparent, and provenance-controlled infrastructure that aligns with NFDI’s strategic goals for sustainable and machine-actionable metadata management. Complementary PID systems - including ROR for participating institutions, Wikidata IRIs for semantic integration into the Linked Open Data ecosystem, and RAiD (Research Activity Identifier) for tracking project relationships once operational in Germany - are acknowledged as part of a layered and interoperable PID framework for the future. By adopting this model for the time being, NFDI strengthens the discoverability, attribution, and long-term accessibility of its research consortia, ensuring their integration within the global PID ecosystem and alignment with international best practices in research infrastructure governance.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-04
DOI
https://doi.org/10.5281/zenodo.17743199
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying NFDI Consortia with Persistent Identifiers

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Identifying NFDI Consortia with Persistent Identifiers

article en

Abstract

This document presents the official recommendation of the PID4NFDI Coordination Hub for assigning persistent identifiers (PIDs) to the consortia of Germany’s National Research Data Infrastructure (NFDI). To ensure consistent, interoperable, and FAIR identification across the NFDI landscape, PID4NFDI recommends the use of DataCite Digital Object Identifiers (DOIs) with the resource type “Project” as the authoritative identifiers for NFDI consortia. The proposed approach reflects the specific nature of NFDI consortia as collaborative, project-based alliances without independent legal status, which fall outside the scope of organizational PID systems such as ROR (Research Organization Registry). At the same time this approach avoids potential conflicts or problems with the German revenue administration. DataCite DOIs offer a mature, transparent, and provenance-controlled infrastructure that aligns with NFDI’s strategic goals for sustainable and machine-actionable metadata management. Complementary PID systems - including ROR for participating institutions, Wikidata IRIs for semantic integration into the Linked Open Data ecosystem, and RAiD (Research Activity Identifier) for tracking project relationships once operational in Germany - are acknowledged as part of a layered and interoperable PID framework for the future. By adopting this model for the time being, NFDI strengthens the discoverability, attribution, and long-term accessibility of its research consortia, ensuring their integration within the global PID ecosystem and alignment with international best practices in research infrastructure governance.

Zenodo (CERN European Organization for Nuclear Research)
Technische Informationsbibliothek (TIB) (DE), DataCite (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.