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Hyekyong Hwang 2 Articles
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
Sci Ed. 2023;10(2):141-148.   Published online August 17, 2023
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AbstractAbstract PDFSupplementary Material
Purpose: This study aimed to ascertain the attitudes of Korean scholarly journal editors and publishers toward research data sharing policies and the publication of data papers through a survey.
Between May 16 and June 16, 2023, a SurveyMonkey survey link was distributed to 388 societies, including 270 member societies of the Korean Council of Science Editors and 118 societies that used an e-submission system operated by the Korea Institute of Science and Technology Information. A total of 78 societies (20.1%) responded, from which 72 responses (18.6%) were analyzed after excluding invalid responses.
Out of the representatives of 72 journals, 20 editors or publishers (27.8%) declared a data sharing policy. Those journals that did not have such a policy often expressed uncertainty about their future plans regarding this issue. A common concern was a potential decrease in manuscript submissions, primarily due to the increased workload this policy might impose on editors and manuscript editors. Four respondents (5.6%) had published data papers, with two of them including this as a publication type in their author guidelines. Concerns about copyright and data licensing were cited as drawbacks to publishing data papers. However, the expansion of publication types and the promotion of data reuse were viewed as benefits.
Korean scholarly journal editors’ and publishers’ attitudes toward data sharing policy and publishing data papers are not yet favorable. More training courses are needed to raise awareness of data sharing platforms and emphasize the need for research data sharing and data papers.
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
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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.
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.
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.
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 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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