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http://dx.doi.org/10.16981/kliss.51.2.202006.103

The Study on Research Data Management of Researchers in the Field of Forestry Engineering using DAF(Data Asset Framework) - Focused on National Institute of Forest Science -  

Kim, Juseop (전북대학교 문헌정보학과)
Han, Yeonjung (국립산림과학원 목재이용연구부)
Youe, Won-Jae (국립산림과학원 목재이용연구부)
Jeon, Yerin (전북대학교 문헌정보학과)
Kim, Suntae (전북대학교 문헌정보학과)
Publication Information
Journal of Korean Library and Information Science Society / v.51, no.2, 2020 , pp. 103-131 More about this Journal
Abstract
This study was started with the aim of grasping the current status of research data management of forestry engineering researchers. In order to achieve the research purpose, the survey was conducted using a tool called DAF (Data Asset Framework). DAF is an investigative tool that provides a means to identify, position, describe and evaluate how the agency manages research data. Using this DAF, the research data management status was analyzed for researchers in the field of forestry engineering at the National Institute of Forest Science. As a result of analysis, the current status and problems of the five categories such as the method and type of research data creation, sharing, storage, preservation, and reuse were identified, and solutions were presented in relation to the problems. This study is a basic investigation using a systematic tool such as DAF, and can be used as a reference for analyzing the current status and problems of research data when designing RDM system in a specific field.
Keywords
Research Data; Research Data Management(RDM); Data Asset Framework(DAF); Forestry Engineering; National Institute of Forest Science;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Vilar, P. and V. Zabukovec. 2019. "Research data management and research data literacy in Slovenian science." Journal of Documentation, 75(1): 24-43.   DOI
2 Wiley, C., & W. H. Mischo, 2016. "Data management practices and perspectives of atmospheric scientists and engineering faculty". Issues in Science and Technology Librarianship, 85.
3 Xiujuan Chen and Wu Ming. 2017. Survey on the Needs for Chemistry Research Data Management and Sharing. The Journal of Academic Librarianship, 43(4): 346-353.   DOI
4 Yale University Library. 2020. What is research data?. [cited 2020. 3. 14].
5 국립산림과학원. 2019. 국립산림과학원 연구데이터 관리 기본계획. 서울: 국립산림과학원.
6 국립산림과학원. 2018. 제2차 중장기 기술개발계획. 서울: 국립산림과학원.
7 국립산림과학원. 2020. 조직.직원. [cited 2020. 6. 14].
8 과학기술정보통신부, 한국과학기술기획평가원. 2018. 2018년 국가과학기술표준분류체계 연구분야 해설서. 한국과학기술기획평가원(KISTEP): 충북 음성.
9 국가연구개발사업의 관리 등에 관한 규정. 대통령령 제29625호 2020.
10 Kim, Sun-Tae, Lee, Tae-Young, & Kim, Yong. 2012. Deriving the Determining Factor for the Management of Oceanographic Data. Journal of Information Management, 43(3): 97-115.   DOI
11 Kim, Jihyun. 2012. A Study on University Researchers' Data Management Practices. Journal of Korean Library and Information Science Society, 43(3): 433-455.   DOI
12 신은정. 2018. 오픈사이언스시대 연구데이터의 공유.활용 동향과 시사점. 과학기술정책연구원, 2018년 6월 25일. [cited 2020. 4. 2].
13 대통령직속 4차산업혁명위원회. [cited 2020. 2. 5].
14 Park, M., Ahn, I., & Nam, S. 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.   DOI
15 신은정 외. 2017. 오픈 사이언스 정책의 도입 및 추진 방안. 세종: 과학기술정책연구원, 정책연구 2017-08.
16 Cox, Andrew et al. 2017. "Developments in Research Data Management in Academic Libraries: Towards an Understanding of Research Data Service Maturity". Journal of the Association for Information Science and Technology, 68(9): 2182-2200.   DOI
17 Choi, M.-S., S.-B. Lee, & S. Lee. (2017). Research Data Management of Science and Technology Research Institutes in Korea. The Journal of the Korea Contents Association, 17(12): 117-126.   DOI
18 한국과학기술정보연구원. 2019. 출연 연구데이터 관리.활용 방안 연구. 대전: 한국과학기술정보연구원.
19 CGIAR. 2017. RESEARCH DATA MANAGEMENT Good Practice Note SMB-ARC 13/9/17. [cited 2020. 3. 12].
20 DCC. n.d. Data Asset Framework. [cited 2020. 2. 21].
21 JISC, University of Glasgow and DCC. 2009. Data Asset Framework Implementation Guide. [cited 2020. 2. 21].
22 Plomp, Esther et al. 2019. "Cultural obstacles to research data management and sharing at TU Delft". Insights the UKSG journal, 32.
23 Mohammed, Mahdi & Ibrahim, Rafea. 2019. "Challenges and Practices of Research Data Management in Selected Iraq Universities". DESIDOC Journal of Library & Information Technology, 39: 308-314.   DOI
24 OECD. 2015. "Making Open Science a Reality." OECD Science, Technology and Industry Policy Papers. No. 25. [cited 2019. 3. 8].
25 Pilat, D. and Y. Fukasaku. 2007. "OECD Principles and Guidelines for Access to Research Data from Public Funding". Data Science Journal, 6: 4-11.
26 The University of Sheffield. 2020. What is research data management?. [cited 2020. 3. 14].
27 PM, Naushad and Sidra Saeed. 2019. "Research Data Management and Data Sharing among Research Scholars of Life Sciences and Social Sciences". DESIDOC Journal of Library & Information Technology, 39: 290-299.   DOI
28 Tenopir C, et al. 2011. "Data Sharing by Scientists: Practices and Perceptions". PLoS ONE. 6(6): e21101.   DOI
29 The Pennsylvania State University. 2020. Forest Science Research. [cited 2020. 5. 14].
30 University of Leeds. 2020. Research data management explained.
31 University of Pittsburgh. 2020. Research Data Management @ Pitt. [cited 2020. 3. 19].
32 University of Turku. 2020. What is research data?. [cited 2020. 3. 15].