Persistent Identifiers: Enabling Trust & Discovery in Research Data (Asia-Oceania 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 a valued WDS member, Korea Institute of Science and Technology (KISTI). This presentation covered benefits, challenges, solutions adopted, and lessons learned from implementing PIDs in their workflows.

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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.18613191
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 (Asia-Oceania Session)

A. French, Hea Lim Rhee, Maria Levchenko
Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Persistent Identifiers: Enabling Trust & Discovery in Research Data (Asia-Oceania Session)

A. French, Hea Lim Rhee, Maria Levchenko
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 a valued WDS member, Korea Institute of Science and Technology (KISTI). This presentation covered benefits, challenges, solutions adopted, and lessons learned from implementing PIDs in their workflows.

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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Persistent Identifiers: Enabling Trust & Discovery in Research Data (Asia-Oceania Session) — A. French, Hea Lim Rhee, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS