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http://dx.doi.org/10.14699/kbiblia.2022.33.4.229

A Study on the Current Status of Research Data Management by Researchers in Each Academic Field: Focusing on Library and Information Science, Statistics, Ecology, and Korean Musicology  

Juseop, Kim (전북대학교 문헌정보학과, 연구데이터융복합연구소 )
Suntae, Kim (전북대학교 문헌정보학과)
Yeonjung, Han (국립산림과학원 임산자원이용연구부)
Won-Jae, Youe (국립산림과학원 임산자원이용연구부 )
Paul, Jeon (전북대학교 통계학과)
Seong Jun, Yang (전북대학교 통계학과(응용통계연구소))
Publication Information
Journal of the Korean BIBLIA Society for library and Information Science / v.33, no.4, 2022 , pp. 229-247 More about this Journal
Abstract
As part of open science, the government adopts a national research data sharing and utilization strategy, forms a governance system at the national level, and promotes policies for research institutes to implement. Although the policy for managing research data is carried out centering on the academic world, it is insufficient compared to developed countries, and even this is a reality in which researchers do not have enough awareness to introduce it to the field. The purpose of this study is to understand the research data management status of researchers in each academic field. Academic fields consisted of four fields including Library and Information Science, Statistics, Ecology, and Korean Musicology, and the current status of data management was identified through a survey. The current status of research data management was analyzed from the perspective of research data production, sharing and management, saving, preservation and reuse. As a result of the study, it was found that there were differences by discipline in terms of data production, data sharing and management, data preservation, and data reuse, except for data savings.
Keywords
Open Science; Research Data; Research Data Management; Data Sharing and Utilization; Data Reuse;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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1 Kim, Sungwook & Kim, Suntae (2020). A study on the research data management methods for the condensed matter physics. Journal of the Korean Society for Information Management, 37(3), 77-106. https://doi.org/10.3743/KOSIM.2020.37.3.077   DOI
2 Lee, Hyewon (2007). A Study on the Event-Driven ABC Ontology Extension Model for Music Resources. Doctoral dissertation, Yonsei University.
3 Lee, Seong-sook (2010). A Method for Applying the FRBR Model According to the Bibliographical Characteristics of Korean Traditional Music. Daejeon: National Research Foundation of Korea.
4 National R&D information processing standard. Ministry of Science and ICT Notice. No. 2020-102.
5 Park, Miyoung, Ahn, Inja, & Nam, Seungjoo (2018). A study on the analysis of research data management and sharing of science & technology government-funded research institutes. Journal of the Korean Biblia Society for Library and Information Science, 29(4), 319-344. https://doi.org/10.14699/KBIBLIA.2018.29.4.319   DOI
6 Park, Yunmi & Kim, Jihyun (2021). A study on research data creation and management by researchers in mechanical engineering. Journal of Korean Society of Archives and Records Management, 21(4), 137-162. https://doi.org/10.14404/JKSARM.2021.21.4.137   DOI
7 Roh, Tae-ho, Hong, Seon-gi, Kang, Dae-seok, & Kwon, Oh-seok [Co-translated] (2000). Ecology: Man and Nature. Seoul: Academy Books.
8 Barabucci, G., Eschweiler, M., & Speer, A. (2018) TI-One: active research data management in a modern philosophy department. 2018 IEEE 14th International Conference on e-Science (e-Science), 2018, 314-315. https://doi:10.1109/eScience.2018.00070.   DOI
9 Collaborative Research Group (CRG) USA (2016). Top 10 Characteristics and Features of the Social Sciences. Available: https://crgsoft.com/10-characteristics-of-the-social-sciences/
10 DBBM [n.d.]. Characteristics of Biological Data. Available: http://www.dbbm.fiocruz.br/class/Lecture/d17/db_overview/characteristics_of_biological_data.htm
11 Donaldson, D. R. & Koepke, J. W. (2022). A focus groups study on data sharing and research data management. Sci Data. 9. https://doi.org/10.1038/s41597-022-01428-w   DOI
12 JISC, University of Glasgow, & DCC (2009). Data Asset Framework Implementation Guide. Available: https://www.data-audit.eu/docs/DAF_Implementation_Guide.pdf
13 Krahe M. A., Toohey J., Wolski M., Scuffham P. A., & Reilly, S. (2020). Research data management in practice: results from a cross-sectional survey of health and medical researchers from an academic institution in Australia. 19th Australasian Research Management Society Conference, 108-116. https://doi.org/10.1177/1833358319831318   DOI
14 University of Washington (2022). Learning Research Data Management with the UW Libraries. Available: https://sites.uw.edu/libstrat/2022/03/23/learning-research-data-management-with-the-uw-libraries
15 Milewska, A., Wisniewska, N., Cimoszko, P., & Rusakow, J. (2022). A survey of medical researchers indicates poor awareness of research data management processes and a role  for data librarians. Health Info Libr J, 39(2), 132-141. https://doi.org/10.1111/hir.12403   DOI
16 Raszewski, R., Goben, A., Bergren, M., Jones, K., Ryan, C., Steffen, A., & Vonderheid, S. (2020). A survey of current practices in data management education in nursing doctoral programs. Journal of Professional Nursing. 37. https://doi.org/10.1016/j.profnurs.2020.06.003.   DOI
17 UCLA Library [n.d.]. Data Management for the Social Sciences. Available: https://guides.library.ucla.edu/data-management-social-sciences
18 Wiley, C. & Burnette, M. (2019). Assessing data management support needs of bioengineering and biomedical research faculty. Journal of eScience Librarianship. 8. e1132. https://doi.org/10.7191/jeslib.2019.1132   DOI
19 Wiley, C. & Mischo, W. (2016). Data Management Practices and Perspectives of Atmospheric Scientists and Engineering Faculty. Issues in Science and Technology Librarianship. https://doi.org/10.29173/istl1688   DOI