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Journal of the Korean Society for Library and Information Science

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Vol.47 No.3
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An Analysis of Data Management Policies of Governmental Funding Agencies in the U.S., the U.K., Canada and Australia

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2013, v.47 no.3, pp.251-274
https://doi.org/10.4275/KSLIS.2013.47.3.251

(2013). An Analysis of Data Management Policies of Governmental Funding Agencies in the U.S., the U.K., Canada and Australia. Journal of the Korean Society for Library and Information Science, 47(3), 251-274, https://doi.org/10.4275/KSLIS.2013.47.3.251
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Abstract

This study aims to analyze data management policies offered by 15 government funding agencies in the U.S., UK, Canada, and Australia, and to make recommendations for developing data management policies in Korea. For the analysis of data management policies, five criteria were suggested based on literature review as follows: 1) the definition of research data, 2) principles of data management, 3) data management plan, 4) the implementation of data management, 5) legal and ethical issues. It was found that there was no policy that covers all the criteria for the analysis. Several funding agencies, however, commonly dealt with each criteria in their data management policies. Based on the findings from the analysis, this study made the following suggestions: First, data policies provide definitions and types of research data based on the understanding of data creation in the fields of funding interests. Second, data policies include principles of data management applicable to data practices in Korea. Third, data policies implement data management plans to promote responsibility of researchers for managing data. Fourth, data policies specify data management implementations to facilitate and support data sharing practices. Fifth, data policies should minimize legal and ethical challenges in data sharing through the review of the applicability of related laws and regulations and their improvement.

keywords
연구데이터, 과학데이터, 데이터관리정책, 데이터 공유, 정부연구비지원기관, Research Data, Scientific Data, Data Management Policies, Data Sharing, Government Funding Agencies, Research Data, Scientific Data, Data Management Policies, Data Sharing, Government Funding Agencies

Reference

1.

김지현. 2012. 대학 내 연구자들의 연구데이터 관리에 관한 연구. ..한국도서관.정보학회지.., 43(3): 433-455.

2.

박동진. 2011. 오스트레일리아의 과학데이터 서비스 체제(ANDS) 분석과 시사점. ..디지털정책연구.., 9(3): 1-10.

3.

신영란, 정연경. 2012. 국내 인문사회 연구데이터 아카이브의 개선방안에 관한 연구. ..한국기록관리학회지.., 12(3): 93-115.

4.

윤종민, 김규빈. 2013. 과학데이터에 대한 입법례와 관리정책 그리고 대응방안: 호주, 미국, 중국을중심으로. ..기술혁신학회지.., 16(1): 63-100.

5.

Borgman, C. 2008. “Data, Disciplines, and Scholarly Publishing.” Learned Publishing, 21: 29-38.

6.

Donnelly. M., Jones, S., & Pattenden-Fail, J. W. 2010. “DMP Online: The Digital Curation Centre’s Web-based Tool for Creating, Maintaining and Exporting Data Management Plans.” International Journal of Digital Curation, 5(1): 187-193.

7.

Haendel M.A., Vasilevsky, N.A., & Wirz, J.A. 2012. “Dealing with Data: A Case Study on Information and Data Management Literacy.” PLoS Biol 10(5): e1001339.

8.

Johnston, L., Lafferty, M., & Petsan, B. 2012. “Training Researchers on Data Management: A Scalable, Cross-Disciplinary Approach.” Journal of eScience Librarianship, 1(2). [cited 2013.7.15]. <http://dx.doi.org/10.7191/jeslib.2012.1012>.

9.

Jones, S. 2009. A Report on the Range of Policies Required for and related to Digital Curation. Digital Curation Centre, University of Glasgow.

10.

Jones, S. 2012. “Developments in Research Funder Data Policy.” International Journal of Data Curation, 7(1): 114-125. [cited 2013.7.15]. <http://www.ijdc.net/index.php/ijdc/article/view/209>.

11.

National Science Foundation. 2011. Digital Research Data Sharing and Management. Task Force on Data Policies, Committee on Strategy and Budget, National Science Board.

12.

Research Data Strategy Working Group. 2011. Mapping the Data Landscape: Report of the 2011 Canadian Research Data Summit.

13.

Treloar, Andrew. 2009. “Design and Implementation of the Australian National Data Service.” International Journal of Digital Curation, 1(4): 125-137.

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