Seeing Your Data's Impact: Persistent Identifiers in Use

This presentation demonstrates how persistent identifiers (PIDs) enable researchers and communities to see, measure, and communicate the impact of shared research data. Using the SPARC (Stimulating Peripheral Activity to Relieve Conditions) program as a case study, it shows how curated, FAIR datasets, supported by ORCID iDs and DataCite DOIs, improve data quality, provenance, discovery, and reuse. The talk highlights the role of human and machine curation in strengthening metadata, the integration of datasets with knowledge bases and computational models, and how PIDs connect data to publications, researchers, and CVs. By making usage, citation, and reuse metrics visible, the presentation illustrates how open infrastructure supports transparency, trust, and long-term research impact. Delivered during Love Data Week 2026, the session is aimed at researchers, data stewards, and research support professionals interested in demonstrating and maximizing the value of shared data. A recording of the presentation is available on the DataCite YouTube channel: https://www.youtube.com/watch?v=gj_rtgA3uO0&t=1041s

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-10
DOI
https://doi.org/10.5281/zenodo.18598658
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Seeing Your Data's Impact: Persistent Identifiers in Use

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

Seeing Your Data's Impact: Persistent Identifiers in Use

Susan Tappan
article en

Abstract

This presentation demonstrates how persistent identifiers (PIDs) enable researchers and communities to see, measure, and communicate the impact of shared research data. Using the SPARC (Stimulating Peripheral Activity to Relieve Conditions) program as a case study, it shows how curated, FAIR datasets, supported by ORCID iDs and DataCite DOIs, improve data quality, provenance, discovery, and reuse. The talk highlights the role of human and machine curation in strengthening metadata, the integration of datasets with knowledge bases and computational models, and how PIDs connect data to publications, researchers, and CVs. By making usage, citation, and reuse metrics visible, the presentation illustrates how open infrastructure supports transparency, trust, and long-term research impact. Delivered during Love Data Week 2026, the session is aimed at researchers, data stewards, and research support professionals interested in demonstrating and maximizing the value of shared data. A recording of the presentation is available on the DataCite YouTube channel: https://www.youtube.com/watch?v=gj_rtgA3uO0&t=1041s

Zenodo (CERN European Organization for Nuclear Research)
Rockwell Automation (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Research Data Management Practices
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