• Proceedings of the Korean Society for Information Management Conference
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• 2016.08a
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• pp.93-96
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• 2016

현존하는 모든 데이터의 90%가 지난 2년 내 생산된 것이지만, 보존되는 데이터의 비율은 매년 17% 하락하고 있다. 본 연구에서는 연구데이터를 보존하기 위해 연구데이터 관리 정책을 살펴보고자 한다. 자연과학 분야에 비해 데이터 관리의 제도적 기반이 미약한 인문사회 분야의 연구데이터 정책 사례를 살펴보았다. 미국의 ICPSR, 캐나다의 SSHRC, 영국의 AHRC의 웹사이트에서 데이터 관련 정책을 참고하여 조사하였다.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.97-97
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• 2017

최근 연구 환경과 연구 패러다임이 데이터 중심으로 변화되고 있다. 특히, 공공 연구성과의 개방과 공유에 기반한 오픈 사이언스(Open Science)가 과학 연구의 글로벌 어젠더로 새롭게 부각되고 있다. OECD는 오픈 사이언스를 정책의제로 채택하고 있으며, 미국, 영국, 호주 등 세계 선진국에서는 공공자금이 투입된 연구과제로부터 생산된 연구데이터의 체계적인 관리와 쉬운 접근, 재사용을 통한 가치 창출을 위해 데이터 관리 계획(Data Management Plan)을 비롯한 오픈 연구데이터 정책을 적극적으로 시행하고 있다. 하지만 국내에서는 연구데이터를 공유 활용하기 위한 법제도적 기반과 관련 인프라가 아직 미흡한 실정이다. 이 연구에서는 오픈 연구데이터를 위한 세계 각국의 정책 동향을 소개한다. 그리고, 국가과학기술연구회 소속 22개 정부출연 연구기관과 국내 20개 대학의 연구자를 대상으로 조사한 연구데이터 생산, 관리, 활용 현황과 데이터 공유 활용을 위한 시사점과 개선방향을 살펴본다.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.133-145
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• 2022

As a result of the study, the poorest keywords were information, big data, management, policy, government, law, and smart. In addition, as a result of network analysis, related research was being conducted on topics such as data industry policy, data governance performance, defense, governance, and data public. The four topics derived through topic modeling were "DG policy," "DG platform," "DG in laws," and "DG implementation," of which research related to "DG platform" showed an increasing trend, and "DG implementation" tended to shrink. This study comprehensively summarized data governance-related studies. Data governance needs to expand research areas from various perspectives and related fields such as data management and data integration policies at the organizational level, and related technologies. In the future, we can expand the analysis targets for overseas data governance and expect follow-up studies on research directions and policy directions in industries that require data-based future industries such as Industry 4.0, artificial intelligence, and Metaverse.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.3
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• pp.251-274
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• 2013

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.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.1
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• pp.239-258
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• 2023

As sharing of research data has become essential, overseas publishers are providing authors with DAS templates to facilitate data sharing. However, the domestic academic market is still lacking in policies related to such research. This study proposes a data sharing policy and DAS template that can be applied to domestic academic societies in order to activate data sharing. To this end, data sharing policies of 5 foreign publishers including Nature and 12 DAS templates including AMS were investigated and analyzed. As a result of the study, an overview of the data sharing policy applicable to domestic academic conferences and a DAS template consisting of 12 items were derived. It is judged that the data sharing policy and DAS template to be presented as a result of this study can be a practical guide and tool for data sharing.

• Journal of Korean Library and Information Science Society
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• v.47 no.3
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• pp.213-239
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• 2016

As Open Data has been emphasized globally, discussions on data policies have occurred for minimizing problems resulting from data sharing and reuse. This study aimed at investigating policy components for controlling access and use of data and examining similarities and differences of the policy components across disciplines. For the purpose, the study analyzed policy components for data access and use controls provided by 37 research data repositories overseas. These included twenty repositories in biological and health science, ten in chemistry, earth and environmental science and physics, as well as seven in social science and general science. The analysis showed that common policy components involve copyright/licenses, data citation, disclaimers and embargoes. However, there were differences in diversity of policy components among the disciplines and it indicated that the rationales of access and use controls emphasized would be different in the disciplines.

• Informatization Policy
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• v.30 no.3
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• pp.29-48
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• 2023

This study aims to investigate empirically the structural relationships among the components of data governance and their impacts on data integration and data-based administration. Through literature review, various definitions, typologies, and case studies of data governance were examined, with the definition of data governance from a public policy perspective developed and applied. The study then analyzed the data from a survey conducted by the Korea Institute of Public Administration on the use of public data policies and confirmed that organizational factors play a mediating role between institutional and technical factors, and that institutional and technical factors have statistically significant positive relationships with data fusion and data-driven administration. Based on these results, interest and investment in the improvement and development of the legal system in data governance from the institutional, technical, and organizational perspective, clarification of means and purposes of data technology, interest in data organizations and human resources, and practical operation can be achieved. Policy implications such as the development of an effective mechanism were presented.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.229-235
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• 2018

The purpose of this study is to propose a method to utilize Big Data Analysis to find policy issues of local governments in the reality that utilization of big data becomes increasingly important in efficient and effective policy making process. For this purpose, this study analyzed the 180,000 articles of Suwon city for the past three years and identified policy issues and evaluated policy priorities through IPA analysis. The results of this study showed that the analysis of semi-formal big data through newspaper articles is effective in deriving the differentiated policy issues of different local autonomous bodies from the main issues in the nation, In this way, the methodology of finding policy issues through the analysis of big data suggested in this study means that local governments can effectively identify policy issues and effectively identify the people. In addition, the methodology proposed in this study is expected to be applicable to the policy issues through the analysis of various semi - formal and informal big data such as online civil complaint data of the local government, resident SNS.

• Advanced Industrial SCIence
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• v.2 no.1
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• pp.15-20
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• 2023

The purpose of this study is to analyze the changes and importance of welfare policies in Chungcheong Province using big data analysis technology in the era of the Fourth Industrial Revolution, and to propose stable welfare policies for all generations, including the socially underprivileged. Chungcheong-do policy-related big data is coded in Python, and stable government policies are proposed based on the results of visualization analysis. As a result of the study, the keywords of Chungcheong-do government policy were confirmed in the order of region, society, government and support, education, and women, and welfare policy should be strengthened with a focus on improving local health policy and social welfare. For future research direction, it will be necessary to compare overseas cases and make policy proposals on the stable impact of national welfare policies.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.355-378
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• 2015

In recent years, countries such as USA, United Kingdom and Australia have begun to implement national policies in order to systematically manage and share research data produced through publicly funded research. However, Korea as of yet does not have a coordinated research data policy. The lack of infrastructure that supports the sharing and preserving research data results in the poor management and loss of valuable data produced from significant national R&D investments. The need for research data collection, management and sharing goes beyond the outcome assessment of national research: it facilitates the diffusion of research impact and economic development. There is a growing recognition that data sharing is an essential element of research ethics. This research investigates the relevant research data policies and methods of governance at the national level using a case study analysis. United Kingdom was selected as a case study target as it shows a wide variety of policy examples and instruments. In particular, this research focuses on the UK's national legal framework for research data sharing, analyzes the RCUK (Research Councils UK)'s data policies, activities at the seven research councils under RCUK as well as several supporting institutions. Based on the analyses, this research offers a national roadmap for better managing and sharing of research data in Korea.