From DOI to Discovery: How Digital Commons Data@BeckerConnects Datasets, Publications, Software, and Contributors

Presentation plan at the July 16, 2026 Discovery Cluster telecon: Seonyoung Kim gave a presentation with a live demonstration of Digital Commons Data@Becker, the institutional repository at WashU Medicine. Digital Commons Data@Becker runs on the same platform as Mendeley Data, which is one of the NIH GREI repositories. The demonstration walked through several real repository records and workflows to show how DOI assignment, DataCite metadata, contributor and funding information, and the relationships among datasets, publications, software, and other research outputs support discovery, attribution, and traceability, and to illustrate how these capabilities are implemented in a production repository environment. Link to the ESIP discovery cluster wiki page for this event: https://wiki.esipfed.org Link to the YouTube video: https://youtu.be/R7vkNgBdrxQ

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-22
DOI
https://doi.org/10.5281/zenodo.21499285
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

From DOI to Discovery: How Digital Commons Data@BeckerConnects Datasets, Publications, Software, and Contributors

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

From DOI to Discovery: How Digital Commons Data@BeckerConnects Datasets, Publications, Software, and Contributors

Seonyoung Kim
article en

Abstract

Presentation plan at the July 16, 2026 Discovery Cluster telecon: Seonyoung Kim gave a presentation with a live demonstration of Digital Commons Data@Becker, the institutional repository at WashU Medicine. Digital Commons Data@Becker runs on the same platform as Mendeley Data, which is one of the NIH GREI repositories. The demonstration walked through several real repository records and workflows to show how DOI assignment, DataCite metadata, contributor and funding information, and the relationships among datasets, publications, software, and other research outputs support discovery, attribution, and traceability, and to illustrate how these capabilities are implemented in a production repository environment. Link to the ESIP discovery cluster wiki page for this event: https://wiki.esipfed.org Link to the YouTube video: https://youtu.be/R7vkNgBdrxQ

Zenodo (CERN European Organization for Nuclear Research)
Washington University in St. Louis (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Research Data Management Practices
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From DOI to Discovery: How Digital Commons Data@BeckerConnects Datasets, Publications, Software, and Contributors — Seonyoung Kim · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS