IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0254202.html
   My bibliography  Save this article

Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers

Author

Listed:
  • Thijs Devriendt
  • Pascal Borry
  • Mahsa Shabani

Abstract

Background: Infrastructures are being developed to enhance and facilitate the sharing of cohort data internationally. However, empirical studies show that many barriers impede sharing data broadly. Purpose: Therefore, our aim is to describe the barriers and concerns for the sharing of cohort data, and the implications for data sharing platforms. Methods: Seventeen participants involved in developing data sharing platforms or tied to cohorts that are to be submitted to platforms were recruited for semi-structured interviews to share views and experiences regarding data sharing. Results: Credit and recognition, the potential misuse of data, loss of control, lack of resources, socio-cultural factors and ethical and legal barriers are elements that influence decisions on data sharing. Core values underlying these reasons are equality, reciprocity, trust, transparency, gratification and beneficence. Conclusions: Data generators might use data sharing platforms primarily for collaborative modes of working and network building. Data generators might be unwilling to contribute and share for non-collaborative work, or if no financial resources are provided for sharing data.

Suggested Citation

  • Thijs Devriendt & Pascal Borry & Mahsa Shabani, 2021. "Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-14, July.
  • Handle: RePEc:plo:pone00:0254202
    DOI: 10.1371/journal.pone.0254202
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0254202
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0254202&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0254202?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gunjan Chandra & Pekka Siirtola & Satu Tamminen & Mikael J. Knip & Riitta Veijola & Juha Röning, 2022. "Impacts of Data Synthesis: A Metric for Quantifiable Data Standards and Performances," Data, MDPI, vol. 7(12), pages 1-26, December.
    2. 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

    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:pone00:0254202. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.