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Research Data in Core Journals in Biology, Chemistry, Mathematics, and Physics

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  • Ryan P Womack

Abstract

This study takes a stratified random sample of articles published in 2014 from the top 10 journals in the disciplines of biology, chemistry, mathematics, and physics, as ranked by impact factor. Sampled articles were examined for their reporting of original data or reuse of prior data, and were coded for whether the data was publicly shared or otherwise made available to readers. Other characteristics such as the sharing of software code used for analysis and use of data citation and DOIs for data were examined. The study finds that data sharing practices are still relatively rare in these disciplines’ top journals, but that the disciplines have markedly different practices. Biology top journals share original data at the highest rate, and physics top journals share at the lowest rate. Overall, the study finds that within the top journals, only 13% of articles with original data published in 2014 make the data available to others.

Suggested Citation

  • Ryan P Womack, 2015. "Research Data in Core Journals in Biology, Chemistry, Mathematics, and Physics," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-22, December.
    • Handle: RePEc:plo:pone00:0143460
    DOI: 10.1371/journal.pone.0143460
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    References listed on IDEAS

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    Cited by:

    1. Brian Jackson, 2021. "Open Data Policies among Library and Information Science Journals," Publications, MDPI, vol. 9(2), pages 1-12, June.
    2. Antti M. Rousi & Mikael Laakso, 2020. "Journal research data sharing policies: a study of highly-cited journals in neuroscience, physics, and operations research," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 131-152, July.
    3. Kyoungmi Lee & Sunglok Choi & Jae-Suk Yang, 2021. "Can expensive research equipment boost research and development performances?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7715-7742, September.
    4. Sixto-Costoya Andrea & Robinson-Garcia Nicolas & Leeuwen Thed & Costas Rodrigo, 2021. "Exploring the relevance of ORCID as a source of study of data sharing activities at the individual-level: a methodological discussion," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7149-7165, August.
    5. Mike Thelwall & Marcus Munafò & Amalia Mas-Bleda & Emma Stuart & Meiko Makita & Verena Weigert & Chris Keene & Nushrat Khan & Katie Drax & Kayvan Kousha, 2020. "Is useful research data usually shared? An investigation of genome-wide association study summary statistics," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-11, February.
    6. Erin C McKiernan, 2017. "Imagining the “open” university: Sharing scholarship to improve research and education," PLOS Biology, Public Library of Science, vol. 15(10), pages 1-25, October.
    7. Schweinsberg, Martin & Feldman, Michael & Staub, Nicola & van den Akker, Olmo R. & van Aert, Robbie C.M. & van Assen, Marcel A.L.M. & Liu, Yang & Althoff, Tim & Heer, Jeffrey & Kale, Alex & Mohamed, Z, 2021. "Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 165(C), pages 228-249.

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