IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v59y2025i2d10.1007_s11135-024-01994-8.html
   My bibliography  Save this article

Research data policy: a library and information science publishers’ perspective

Author

Listed:
  • Kavya Asok

    (Central University of Haryana)

  • Dinesh Kumar Gupta

    (Central University of Haryana)

  • Prashant Shrivastava

    (All India Institute of Medical Sciences)

Abstract

The purpose of this study was to analyse the extent to which Library and Information Science (LIS) publishers employ research data policies. Since the research data policy landscape is too complex amidst the varied publishers, authors attempted to analyse LIS publishers retrieved from the ISI Web of Science in compliance with 12 research data policy features identified from the literature for uniformity in the analysis. The study examined the information provided on the websites of LIS publishers to describe the common and distinct features of their research data policies. Apart from the common features identified in the literature, the authors found numerous distinct research data policy features of publishers, such as deposition of data sets, division of research data policy types, and sharing of research code. Furthermore, institutional publishers with research data policies have more rigid features for the execution of research data policy features since their beneficiaries are uniform, in contrast to the varied nature of journals’ and publishers’ authors. This is an in-depth study of the research data policy features of 12 publishers contributing to LIS. The study will give funders, institutions, publishers, journals, and other functionaries insight into the need for research data policies.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-01994-8
    DOI: 10.1007/s11135-024-01994-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-024-01994-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-024-01994-8?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Brian Jackson, 2021. "Open Data Policies among Library and Information Science Journals," Publications, MDPI, vol. 9(2), pages 1-12, June.
    2. 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.
    3. 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.
    4. 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. 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).
    3. 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.
    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. Eungi Kim & Kristine Joy Tabogoc & Jang Won Chae, 2024. "Analyzing Data Sharing Policies in Library and Information Science: Journal Metrics, Open Access Status, and Publisher Volume," Publications, MDPI, vol. 12(4), pages 1-14, November.
    23. 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.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:qualqt:v:59:y:2025:i:2:d:10.1007_s11135-024-01994-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.