IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0134826.html
   My bibliography  Save this article

Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide

Author

Listed:
  • Carol Tenopir
  • Elizabeth D Dalton
  • Suzie Allard
  • Mike Frame
  • Ivanka Pjesivac
  • Ben Birch
  • Danielle Pollock
  • Kristina Dorsett

Abstract

The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.

Suggested Citation

  • Carol Tenopir & Elizabeth D Dalton & Suzie Allard & Mike Frame & Ivanka Pjesivac & Ben Birch & Danielle Pollock & Kristina Dorsett, 2015. "Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-24, August.
    • Handle: RePEc:plo:pone00:0134826
    DOI: 10.1371/journal.pone.0134826
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0134826
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0134826&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0134826?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Christine L. Borgman, 2012. "The conundrum of sharing research data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1059-1078, June.
    2. Christine L. Borgman, 2012. "The conundrum of sharing research data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(6), pages 1059-1078, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vikas Jaiman & Leonard Pernice & Visara Urovi, 2022. "User incentives for blockchain-based data sharing platforms," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-22, April.
    2. Kavya Asok & Dinesh Kumar Gupta & Prashant Shrivastava, 2025. "Research data policy: a library and information science publishers’ perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(2), pages 995-1016, April.
    3. Benedikt Fecher & Sascha Friesike & Marcel Hebing, 2014. "What Drives Academic Data Sharing?," SOEPpapers on Multidisciplinary Panel Data Research 655, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Andrea K. Thomer, 2022. "Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1155-1170, August.
    5. Jenny Bossaller & Anthony J. Million, 2023. "The research data life cycle, legacy data, and dilemmas in research data management," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 701-706, June.
    6. Guillaume Cabanac & Thomas Preuss, 2013. "Capitalizing on order effects in the bids of peer-reviewed conferences to secure reviews by expert referees," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 405-415, February.
    7. repec:plo:pone00:0104798 is not listed on IDEAS
    8. Shibayama, Sotaro & Lawson, Cornelia, 2021. "The use of rewards in the sharing of research resources," Research Policy, Elsevier, vol. 50(7).
    9. Koutroumpis, Pantelis & Leiponen, Aija & Thomas, Llewellyn D W, 2017. "The (Unfulfilled) Potential of Data Marketplaces," ETLA Working Papers 53, The Research Institute of the Finnish Economy.
    10. repec:plo:pone00:0067332 is not listed on IDEAS
    11. repec:plo:pone00:0121409 is not listed on IDEAS
    12. Isabella Peters & Peter Kraker & Elisabeth Lex & Christian Gumpenberger & Juan Gorraiz, 2016. "Research data explored: an extended analysis of citations and altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 723-744, May.
    13. Jingfeng Xia, 2013. "Mandates and the Contributions of Open Genomic Data," Publications, MDPI, vol. 1(3), pages 1-14, October.
    14. Benedikt Fecher & Sascha Friesike & Marcel Hebing, 2014. "What Drives Academic Data Sharing?," RatSWD Working Papers 236, German Data Forum (RatSWD).
    15. Youngseek Kim & Ayoung Yoon, 2017. "Scientists' data reuse behaviors: A multilevel analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2709-2719, December.
    16. Christian Hopp & Francis J. Greene & Benson Honig & Tomas Karlsson & Mikael Samuelsson, 2018. "Revisiting the influence of institutional forces on the written business plan: a replication study," Management Review Quarterly, Springer, vol. 68(4), pages 361-398, November.
    17. G. N. Kenyon & M. Goldsmith & B. D. Neureuther & D. Zhou, 2018. "Improving the return on investment in ports: opportunities in data management," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(4), pages 514-530, December.
    18. Nushrat Khan & Mike Thelwall & Kayvan Kousha, 2021. "Measuring the impact of biodiversity datasets: data reuse, citations and altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3621-3639, April.
    19. Michael Weinhardt, 2021. "Big Data: Some Ethical Concerns for the Social Sciences," Social Sciences, MDPI, vol. 10(2), pages 1-14, January.
    20. Ana Trisovic & Katherine Mika & Ceilyn Boyd & Sebastian Feger & Mercè Crosas, 2021. "Repository Approaches to Improving the Quality of Shared Data and Code," Data, MDPI, vol. 6(2), pages 1-12, February.
    21. Mike Thelwall, 2020. "Data in Brief: Can a mega-journal for data be useful?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 697-709, July.
    22. Federica Cugnata & Chiara Brombin & Chiara Maria Poli & Roberto Buccione & Clelia Serio, 2024. "Modelling perception and resilience factors to data sharing in clinical and basic research: an observational study," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3169-3192, June.
    23. repec:plo:pone00:0092590 is not listed on IDEAS
    24. Koenraad De Smedt & Dimitris Koureas & Peter Wittenburg, 2020. "FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units," Publications, MDPI, vol. 8(2), pages 1-17, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0134826. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.