• Review of Korea Contents Association
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• v.12 no.1
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• pp.38-40
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• 2014

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.911-914
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• 2013

빅데이터가 이전의 대용량정보와 비교하여 어떠한 개념적인 의미를 지니는지 정책설계과정에 따라 이론적으로 논의하고, 이 시대 이슈가 되는 데이터 주권에 대하여 저작권과 CCL을 사례로 ICT정책의 설계방안을 제시한다. 사례분석의 결과 빅데이터 시대 데이터 주권에 대한 정책은 법, 시장, 기술, 규범 측면에서 균형 있게 설계되어야 하며 기술구조를 기초로 사회문제에 대한 규제구조를 설계하고 정책을 집행해야 한다.

• 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.

• 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.

• Informatization Policy
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• v.28 no.2
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• pp.98-113
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• 2021

This study presents implications of the Global Data Law & Policy by comparing national data strategies, data regulations and policies, and governance in South Korea, the United States, the United Kingdom, and the European Union. According to the result of the comparative analysis, the biggest difference is in data governance, in other words, the management and coordination of policies at the pan-government level and data ethics. Therefore, this study proposes the establishment of a presidential special committee on data policy or the creation of a 'National Digital Innovation Office' at the Presidential Secretariat as a national CDO for the governance of data policies. Furthermore, this paper suggests a) to enact 'the Framework Act on the Development of Data Industry' that can regulate data practices in the private sector, b) to institutionalize the data-centric security and data protection, c) to settle the public ethics and personnel management based on data expertise and professional ethics, including explainability and responsibility, and d) the education and training systems.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.63-81
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• 2023

This study endeavors to classify and categorize similar policy programs through network clustering analysis, using textual information from data-related policy programs in Korea. To achieve this, descriptions of data-related budgetary programs in South Korea in 2022 were collected, and keywords from the program contents were extracted. Subsequently, the similarity between each program was derived using TF-IDF, and policy program network was constructed accordingly. Following this, the structural characteristics of the network were analyzed, and similar policy programs were clustered and categorized through network clustering. Upon analyzing a total of 97 programs, 7 major clusters were identified, signifying that programs with analogous themes or objectives were categorized based on application area or services utilizing data. The findings of this research illuminate the current status of data-related policy programs in Korea, providing policy implications for a strategic approach to planning future national data strategies and programs, and contributing to the establishment of evidence-based policies.

• 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.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.3
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• pp.1-6
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• 2008

Data grid shares distributed large data via wide-band network. Such grid environment consumes much time for large data transmission. Because it is implemented on internet as physical network. Many replication strategies were proposed for solving this problem, but they are not optimal in real Data grid environments. Because they were proposed that based on logical topology without consideration of real internet architecture. Grid data access time is largely influenced by internet architecture as physical network of Data grid. In this paper, we propose a new data replication strategy RSIA(Replication Strategy based on Internet Architecture) based on internet architecture. The RSIA places replicas considering structural hierarchy in each element of internet, and avoid the performance bottlenecks to reduce system performance degradation when a data transfer. Through simulation, we show that the proposed RSIA data replication strategy improves the performance of Data Grid environment compared with previous strategies.

• 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.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.2
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• pp.10-17
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• 2008

In this paper, we propose an efficient data replication strategy based on Peer-to-Peer which improves the performance of Data Grid system. The key idea of this replication strategy is to add the Peer-to-Peer concept for reducing data transmission restriction caused by hierarchical topology. And, it makes the nodes can store data replica to set a critical section at the storage of client level nodes. Therefore, it is possible to transmit the data replica between client level nodes and from client level nodes to upper data replication server. It is more effective to transmit data replica between client level nodes than transmitting data replica 1mm data server or data replication server with respect to minimize the transmission time. This results in improving the performance of Data Grid system. Through simulation, we show that the proposed data replication strategy based on Peer-to-Peer improves the performance of entire Data Grid environment compared to previous strategies.