Sharing Detailed Research Data Is Associated with Increased Citation Rate

By Heather A. Piwowar, Roger S. Day, D. Fridsma. PLoS ONE, 2007

875 citations recorded by the source corpus.

Background Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available. Principal Findings We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression. Significance This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.

Subfields: Information Systems, Molecular Biology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e93d035dc12252576b9e23a1e72b5f7cf465a5ed

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Citations in the corpus

Reproducible research in signal processing (2009, background): “This is expected to increase the number of citations for such papers, as well as their use by colleagues in their own research, in commercial applications, and for teaching.”
Open Access to Data: An Ideal Professed but Not Practised (2014, background): “As shown by Piwowar et al. (2007) sharing research data is positively orrelated with the citation rate.”
Reporting animal research: Explanation and Elaboration for the ARRIVE guidelines 2019 (2019, background): “Journal articles with accompanying data may be cited more frequently [231].”
NeuroMorpho.Org: A Central Resource for Neuronal Morphologies (2007, background): “However, in addition to benefiting science, data sharing augments visibility and impact of both the original results and their authors (Piwowar et al., 2007).”
Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis (2017, background): “…of the impact on original papers, typically measured in increased citations, after a paper’s dataset has been made openly available (e.g., Dorch 2012; Gleditsch et al. 2003; Henneken and Accomazzi 2011; Ioannidis et al. 2009; Pienta et al. 2010; Piwowar et al. 2007; Piwowar and Vision 2013).”
Ten Simple Rules for Reproducible Computational Research (2013, background): “A second extension is to ensure that peers have a practical possibility of reproducing your results, which can lead to increased trust in, interest for, and citations of your work [6,14].”
Scientific Utopia: II. Restructuring Incentives and Practices to Promote Truth Over Publishability (2012, methodology): “Openness with data, methods, and tools makes them citable contributions (Mooney, 2011; Piwowar et al., 2007; http:// www.data-pass.org/citations.html).”
The Open Knowledge Foundation: Open Data Means Better Science (2011, positive): “However, it does appear that publicly sharing your data increases citation rate, at least in cancer microarray experiments [8], which is positive encouragement that open biological data is being reused.”
Global overview of the applications of the Ecopath with Ecosim modeling approach using the EcoBase models repository (2015, background): “…principle for independent verification nd reuse (Vision, 2010), and published papers which make their ata available are cited more frequently (Piwowar et al., 2007). et, the open-access principle of sharing information online for ree has been increasingly applied to publications, but much…”
Toward Reproducibility in Online Social Network Research (2018, background): “account for a 69% increase in citations [29].”