Identifying genomic data use with the Data Citation Explorer

Increases in sequencing capacity, combined with rapid accumulation of publications and associated data resources, have increased the complexity of maintaining associations between literature and genomic data. As the volume of literature and data have exceeded the capacity of manual curation, automated approaches to maintaining and confirming associations among these resources have become necessary. Here we present the Data Citation Explorer (DCE), which discovers literature incorporating genomic data that was not formally cited. This service provides advantages over manual curation methods including consistent resource coverage, metadata enrichment, documentation of new use cases, and identification of conflicting metadata. The service reduces labor costs associated with manual review, improves the quality of genome metadata maintained by the U.S. Department of Energy Joint Genome Institute (JGI), and increases the number of known publications that incorporate its data products. The DCE facilitates an understanding of JGI impact, improves credit attribution for data generators, and can encourage data sharing by allowing scientists to see how reuse amplifies the impact of their original studies.

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Publication Details

Journal
Scientific Data
Published
2024-11-06
DOI
https://doi.org/10.1038/s41597-024-04049-7
Citations
5
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
3.90

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article

Identifying genomic data use with the Data Citation Explorer

George M Garrity, T. B. K. Reddy, Charles Thomas Parker, Kjiersten Fagnan et al.
5 citations
Scientific Data
Research Data Management Practices
3.90
article

Identifying genomic data use with the Data Citation Explorer

George M Garrity, T. B. K. Reddy, Charles Thomas Parker, Kjiersten Fagnan, Neil Byers, Hugh Salamon, Chris Beecroft
article en
5 citations

Abstract

Increases in sequencing capacity, combined with rapid accumulation of publications and associated data resources, have increased the complexity of maintaining associations between literature and genomic data. As the volume of literature and data have exceeded the capacity of manual curation, automated approaches to maintaining and confirming associations among these resources have become necessary. Here we present the Data Citation Explorer (DCE), which discovers literature incorporating genomic data that was not formally cited. This service provides advantages over manual curation methods including consistent resource coverage, metadata enrichment, documentation of new use cases, and identification of conflicting metadata. The service reduces labor costs associated with manual review, improves the quality of genome metadata maintained by the U.S. Department of Energy Joint Genome Institute (JGI), and increases the number of known publications that incorporate its data products. The DCE facilitates an understanding of JGI impact, improves credit attribution for data generators, and can encourage data sharing by allowing scientists to see how reuse amplifies the impact of their original studies.

Scientific DataVol. 11(1)
Lawrence Berkeley National Laboratory (US), Joint Genome Institute (US), Michigan State University (US)
U.S. Department of Energy, Joint Genome Institute, Office of Science
Openalex Percentile: Top 6%
Research Data Management Practices
3.90
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Identifying genomic data use with the Data Citation Explorer — George M Garrity, T. B. K. Reddy, et al. · Scientific Data (2024) | TGRS Research Map | TGRS