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Institutional and individual factors affecting scientists' data-sharing behaviors: A multilevel analysis

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  • Youngseek Kim
  • Jeffrey M. Stanton
Abstract
No abstract is available for this item.

Suggested Citation

  • Youngseek Kim & Jeffrey M. Stanton, 2016. "Institutional and individual factors affecting scientists' data-sharing behaviors: A multilevel analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(4), pages 776-799, April.
  • Handle: RePEc:bla:jinfst:v:67:y:2016:i:4:p:776-799
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    File URL: http://hdl.handle.net/10.1002/asi.23424
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    Citations

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    Cited by:

    1. Charles Ayoubi & Boris Thurm, 2023. "Knowledge diffusion and morality: Why do we freely share valuable information with Strangers?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(1), pages 75-99, January.
    2. Joshua Borycz & Robert Olendorf & Alison Specht & Bruce Grant & Kevin Crowston & Carol Tenopir & Suzie Allard & Natalie M. Rice & Rachael Hu & Robert J. Sandusky, 2023. "Perceived benefits of open data are improving but scientists still lack resources, skills, and rewards," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    3. Keiko Kurata & Mamiko Matsubayashi & Shinji Mine, 2017. "Identifying the Complex Position of Research Data and Data Sharing Among Researchers in Natural Science," SAGE Open, , vol. 7(3), pages 21582440177, July.
    4. Anne E Thessen & Paul Bogdan & David J Patterson & Theresa M Casey & César Hinojo-Hinojo & Orlando de Lange & Melissa A Haendel, 2021. "From Reductionism to Reintegration: Solving society’s most pressing problems requires building bridges between data types across the life sciences," PLOS Biology, Public Library of Science, vol. 19(3), pages 1-12, March.
    5. 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.
    6. Carol Tenopir & Natalie M Rice & Suzie Allard & Lynn Baird & Josh Borycz & Lisa Christian & Bruce Grant & Robert Olendorf & Robert J Sandusky, 2020. "Data sharing, management, use, and reuse: Practices and perceptions of scientists worldwide," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-26, March.
    7. Libby Hemphill & Margaret L. Hedstrom & Susan Hautaniemi Leonard, 2021. "Saving social media data: Understanding data management practices among social media researchers and their implications for archives," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(1), pages 97-109, January.
    8. Jinya Liu & Kunhua Zhao & Liping Gu & Huichuan Xia, 2024. "To share or not to share, that is the question: a qualitative study of Chinese astronomers’ perceptions, practices, and hesitations about open data sharing," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    9. Claire M Mason & Paul J Box & Shanae M Burns, 2020. "Research data sharing in the Australian national science agency: Understanding the relative importance of organisational, disciplinary and domain-specific influences," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    10. Pablo Dorta-González & Sara M. González-Betancor & María Isabel Dorta-González, 2021. "To what extent is researchers' data-sharing motivated by formal mechanisms of recognition and credit?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2209-2225, March.
    11. 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.
    12. Harper, Lindsey M. & Kim, Youngseek, 2018. "Attitudinal, normative, and resource factors affecting psychologists’ intentions to adopt an open data badge: An empirical analysis," International Journal of Information Management, Elsevier, vol. 41(C), pages 23-32.

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