Persistent Identifiers: Enabling Trust & Discovery in Research Data (Europe-Americas Session)

Celebrate International Love Data Week with WDS!The World Data System hosted a webinar featuring speakers from Research Organization Registry (ROR), DataCite, Korea Institute of Science and Technology Information (KISTI), and Worldwide Protein DataBank (wwPDB) to explore how persistent identifiers (PIDs) strengthen trust and facilitate discovery in research data. To accommodate the global community, this event was held twice in different time zones. This session featured a use case from WDS member Worldwide Protein DataBank (wwPDB), highlighting their experiences with PIDs for data discoverability and integrity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-11
DOI
https://doi.org/10.5281/zenodo.18613793
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Persistent Identifiers: Enabling Trust & Discovery in Research Data (Europe-Americas Session)

A. French, Maria Levchenko, Dennis Piehl
Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Persistent Identifiers: Enabling Trust & Discovery in Research Data (Europe-Americas Session)

A. French, Maria Levchenko, Dennis Piehl
article en

Abstract

Celebrate International Love Data Week with WDS!The World Data System hosted a webinar featuring speakers from Research Organization Registry (ROR), DataCite, Korea Institute of Science and Technology Information (KISTI), and Worldwide Protein DataBank (wwPDB) to explore how persistent identifiers (PIDs) strengthen trust and facilitate discovery in research data. To accommodate the global community, this event was held twice in different time zones. This session featured a use case from WDS member Worldwide Protein DataBank (wwPDB), highlighting their experiences with PIDs for data discoverability and integrity.

Zenodo (CERN European Organization for Nuclear Research)
European Bioinformatics Institute (GB), Crossref (US)
Partnerships for the goals
Openalex Percentile: Top 70%
Research Data Management Practices
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