The Data Citation Corpus now includes data citations from Europe PMC
July 29, 2025 | By: Make Data Count
DOI: 10.60804/drrx-4m69
The fourth release of the Data Citation Corpus incorporates data citations from Europe PMC and additions to affiliation metadata.
Our latest release for the Data Citation Corpus is just out, including 5.2 million new data citations from Europe PMC, and additions to the affiliation metadata for some of the citation records.
Europe PMC aggregates open access life sciences literature including research articles, preprints, and books. Europe PMC employs text-mining algorithms to identify dataset citations in the main text and the supplementary files of articles. This allows Europe PMC to provide data-article connections for biomedical datasets from over 40 life-sciences repositories via its annotations service. We are thrilled to now have Europe PMC data citations included in the Data Citation Corpus, bringing the total number of unique data citations in the Corpus to 9.6 million.
In addition to data citations from Europe PMC, the current release includes 139,647 new data citations added to DataCite Event Data between January and June 2025. It also includes the previously available citations contributed by Chan Zuckerberg Initiative and Aligning Science Across Parkinson’s (ASAP).
The current release also incorporates work we have completed to leverage metadata in the Gene Expression Omnibus (GEO) repository, and the Data Citation Corpus now includes affiliation metadata for 120,727 datasets from GEO. As in earlier releases, we have taken steps to reconcile affiliations and funders with their Research Organization Registry (ROR) ID’. This advances our work to facilitate insights on data usage and reach for institutions, and we will continue to explore opportunities to enrich affiliation metadata for the data citations.
The data file for the current release of the Data Citation Corpus is available on Zenodo. Documentation for the Corpus is available on the Make Data Count website, and information on the updates and associated scripts are available in GitHub. As ever, we welcome feedback, suggestions or enquiries, please share your feedback via GitHub or contact us at info@makedatacount.org.
We pursue our work to incorporate additional data citations into the Corpus, and we are excited about our Kaggle competition that calls for machine learning models to identify mentions of data in papers and contextualize the relationship. We are looking forward to the potential for these models to substantially expand the coverage of data-paper links in the Data Citation Corpus. The competition is open until September 9, so don’t miss the chance to take part.
