Abstract

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 deve loping data management policies in Korea. For the analysis of data management policies, five criteria wer e suggested based on literature review as follows: 1) the definition of research data, 2) principles of data manag ement, 3) data management plan, 4) the implementation of data management, 5) legal and ethical issues. It was found t hat there was no policy that covers all the criteria for the analysis. Several funding agencies, however, commonly d ealt with each criteria in their data management policies. Based on the findings from the analysis, this study m ade the following suggestions: First, data policies provide definitions and types of research data based on the und erstanding 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 implementat ions to facilitate and support data sharing practices. Fifth, data policies should minimize legal and ethic al challenges in data sharing through the review of the applicability of related laws and regulations and their improvement. 키워드: 연구데이터, 과학데이터, 데이터관리정책, 데이터 공유, 정부연구비지원기관Research Data, Scientific Data, Data Management Policies, Data Sharing, Government Funding Agencies

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