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Case Study
- The Korea Research Institute of Bioscience and Biotechnology’s number of articles and turnaround time before and after the COVID-19 pandemic: a case study
- Sang-Jun Kim
- Sci Ed. 2025;12(1):50-56. Published online February 12, 2025
- DOI: https://doi.org/10.6087/kcse.361
- 2,427 View
- 69 Download
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Abstract
PDF - This case study investigated changes in research articles from the Korea Research Institute of Bioscience and Biotechnology (KRIBB) during the COVID-19 pandemic to share information with stakeholders in the research and publishing communities. Data on research published from 2017 to 2024 were collected by searching the database for the number of research articles indexed in Web of Science’s Science Citation Index Expanded (SCIE), and then extracting the publication date of research articles from the KRIBB’s paper management system. After the number of WoS-SCIE research articles was scaled down by the corresponding number of KRIBB’s SCIE articles in 2017, we analyzed differences in the publication turnaround times of KRIBB’s research articles based on whether MDPI was involved. In both WoS-SCIE and KRIBB data, the impact of MDPI exhibited a clear decline in 2023, a trend that continued into 2024. Generally, KRIBB’s non-MDPI research articles were published more rapidly in high-frequency journals, journals with low impact factors, and for COVID-19–related topics; however, this difference gradually diminished. In 2023, there was a notable reversal from a decrease to an increase in publication speed following COVID-19, along with a narrowing of the gaps between different stages of publication. It remains uncertain whether this trend will continue. Collecting additional similar case studies could provide a more accurate understanding of the changes and trends in the article publishing industry during the COVID-19 period.
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
- 5,802 View
- 301 Download
- 5 Web of Science
- 5 Crossref
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Abstract
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
- Six Elements in Promoting Open Science: Malaysian academicians’ research practices in information science
Wahidah Mohd Zain, Paula Lackie, Zahril Shahida Ahmad, Norkamarizal Kamarudin, Siti Khairiyah Nordin
Environment-Behaviour Proceedings Journal.2025; 10(SI31): 57. CrossRef - Factors influencing authors’ intention to continue publishing in data journals:
a cross-sectional survey
Seungeun Lee, Jihyun Kim
Science Editing.2025; 12(2): 183. CrossRef - 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
- Six Elements in Promoting Open Science: Malaysian academicians’ research practices in information science
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