Published April 3, 2025
| Version v1
Poster
Open
Automating data citation at scale to advance open data metrics
Authors/Creators
-
1.
University of Colorado at Boulder
-
2.
DataCite
- 3. Galter Health Sciences Library and Learning Center, Northwestern University Feinberg School of Medicine
Description
Poster ‘Automating data citation at scale to advance open data metrics’ presented at ACRL 2025.
Academic libraries are increasingly focused on understanding dataset usage and impact to report on diverse research outputs, enhance data advocacy efforts, inform strategic research data management, data acquisition and collection management, and help support recognition and reward of data activities and contributions. Data citations serve as crucial indicators of dataset utilization. The poster presents insights on dataset usage and reach from Northwestern University and University of Colorado Boulder, utilizing data citation information from open aggregates like the Data Citation Corpus.
Notes
- The Data Citation Corpus data file is available at https://doi.org/10.5281/zenodo.11196858.
- Data citations from Europe PMC used in the analysis are included as an accompanying file.
Files
Automating-Data-Citation-ACRLPoster-Final.pdf
Files
(20.0 MB)
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Additional details
Funding
- Wellcome Trust
- Make Data Count: A Central Corpus for All Data Citations 226453/Z/22/Z
Dates
- Submitted
-
2025-04
References
- DataCite, & Make Data Count. (2025). Data Citation Corpus Data File (v3.0) [Data set]. DataCite. https://doi.org/10.5281/zenodo.11196858