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1 "Open research data"
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Original Article
Data sharing attitudes and practices of researchers in Korean government research institutes: a survey-based descriptive study
Jihyun Kim, Hyekyong Hwang, Youngim Jung, Sung-Nam Cho, Tae-Sul Seo
Sci Ed. 2023;10(1):71-77.   Published online February 16, 2023
DOI: https://doi.org/10.6087/kcse.299
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  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDF
Purpose: This study explored to what extent and how researchers in five Korean government research institutes that implement research data management practices share their research data and investigated the challenges they perceive regarding data sharing.
Methods
The study collected survey data from 224 respondents by posting a link to a SurveyMonkey questionnaire on the homepage of each of the five research institutes from June 15 to 29, 2022. Descriptive statistical analyses were conducted.
Results
Among 148 respondents with data sharing experience, the majority had shared some or most of their data. Restricted data sharing within a project was more common than sharing data with outside researchers on request or making data publicly available. Sharing data directly with researchers who asked was the most common method of data sharing, while sharing data via institutional repositories was the second most common method. The most frequently cited factors impeding data sharing included the time and effort required to organize data, concerns about copyright or ownership of data, lack of recognition and reward, and concerns about data containing sensitive information.
Conclusion
Researchers need ongoing training and support on making decisions about access to data, which are nuanced rather than binary. Research institutes’ commitment to developing and maintaining institutional data repositories is also important to facilitate data sharing. To address barriers to data sharing, it is necessary to implement research data management services that help reduce effort and mitigate concerns about legal issues. Possible incentives for researchers who share data should also continue to be explored.

Citations

Citations to this article as recorded by  
  • Korean scholarly journal editors’ and publishers’ attitudes towards journal data sharing policies and data papers (2023): a survey-based descriptive study
    Hyun Jun Yi, Youngim Jung, Hyekyong Hwang, Sung-Nam Cho
    Science Editing.2023; 10(2): 141.     CrossRef
  • Data sharing and data governance in sub-Saharan Africa: Perspectives from researchers and scientists engaged in data-intensive research
    Siti M. Kabanda, Nezerith Cengiz, Kanshukan Rajaratnam, Bruce W. Watson, Qunita Brown, Tonya M. Esterhuizen, Keymanthri Moodley
    South African Journal of Science.2023;[Epub]     CrossRef
  • Identifying key factors and actions: Initial steps in the Open Science Policy Design and Implementation Process
    Hanna Shmagun, Jangsup Shim, Jaesoo Kim, Kwang-Nam Choi, Charles Oppenheim
    Journal of Information Science.2023;[Epub]     CrossRef

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