The citation advantage of linking publications to research data
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Abstract (arXiv)
Efforts to make research results open and reproducible are increasingly reflected by journal policies encouraging or mandating authors to provide data availability statements. As a consequence of this, there has been a strong uptake of data availability statements in recent literature. Nevertheless, it is still unclear what proportion of these statements actually contain well-formed links to data, for example via a URL or permanent identifier, and if there is an added value in providing such links. We consider 531,889 journal articles published by PLOS and BMC, develop an automatic system for labelling their data availability statements according to four categories based on their content and the type of data availability they display, and finally analyze the citation advantage of different statement categories via regression. We find that, following mandated publisher policies, data availability statements become very common. In 2018 93.7% of 21,793 PLOS articles and 88.2% of 31,956 BMC articles had data availability statements. Data availability statements containing a link to data in a repository -- rather than being available on request or included as supporting information files -- are a fraction of the total. In 2017 and 2018, 20.8% of PLOS publications and 12.2% of BMC publications provided DAS containing a link to data in a repository. We also find an association between articles that include statements that link to data in a repository and up to 25.36% (±~1.07%) higher citation impact on average, using a citation prediction model. We discuss the potential implications of these results for authors (researchers) and journal publishers who make the effort of sharing their data in repositories. All our data and code are made available in order to reproduce and extend our results.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jul 2019.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 0; 2026: 4.
7 papers.
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- 2026Code Sharing In Prediction Model Research: A Scoping Reviewcited by 1
- 2026Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICEcited by 0
- 2026Measuring research data reuse in scholarly publications using generative artificial intelligence: Open Science Indicator development and preliminary resultscited by 0
- 2026Geospatial Metadata Improves Discoverability by Connecting Datasets Across Scientific Disciplinescited by 0
- 2026Geospatial Metadata Improves Discoverability by Connecting Datasets Across Scientific Disciplines15 Sep 2026
- 2026Measuring research data reuse in scholarly publications using generative artificial intelligence: Open Science Indicator development and preliminary results30 Apr 2026
- 2026Code Sharing In Prediction Model Research: A Scoping Review16 Mar 2026
- 2026Open Datasets in Learning Analytics: Trends, Challenges, and Best PRACTICE19 Feb 2026
- 2024Copycats: the many lives of a publicly available medical imaging dataset9 Feb 2024
- 2023The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices4 Oct 2023
- 2022Resources for Turkish Natural Language Processing: A critical survey11 Apr 2022