• Journal of Digital Convergence
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• v.13 no.10
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• pp.135-146
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• 2015

Public data open is one of the important tasks of Korea Government 3.0. By making open data available to the private sector, the goal is to create jobs, increase innovation and improve quality of life. Public data open is a policy that emphasized its importance worldwide. Open data should have adequate quality in order to achieve the object of the public. However, there are open data's quality problems due to the lack of data quality management and standardization. The purpose of this study is to derive data characteristics of public open data from existing researches. In addition, the model was modified and verified through a survey targeting the experts on public open data. The study indicates that public open data's quality characteristics as publicity, usability, reliability, suitability. This study is significant in that it suggests quality characteristics to improve the data quality and promote utilization of the open data.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.129-136
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• 2023

The government of the Republic of Korea is conducting quality management of public open data by conducting a public data quality management level evaluation. Public open data is provided in various open formats such as XML, JSON, and CSV, with CSV format accounting for the majority. When diagnosing the quality of public open data in CSV format, the quality diagnosis manager determines and diagnoses the domain for each field based on the field name and data within the field of the public open data file. However, it takes a lot of time because quality diagnosis is performed on large amounts of open data files. Additionally, in the case of fields whose meaning is difficult to understand, the accuracy of quality diagnosis is affected by the quality diagnosis person's ability to understand the data. This paper proposes a domain discrimination model for public open data in CSV format using field names and data distribution statistics to ensure consistency and accuracy so that quality diagnosis results are not influenced by the capabilities of the quality diagnosis person in charge, and to support shortening of diagnosis time. As a result of applying the model in this paper, the correct answer rate was about 77%, which is 2.8% higher than the file format open data diagnostic tool provided by the Ministry of Public Administration and Security. Through this, we expect to be able to improve accuracy when applying the proposed model to diagnosing and evaluating the quality management level of public data.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.75-76
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• 2018

공공데이터 공개 의무 확대와 법제도 개선에 따라 한국 정부 및 지자체를 중심으로 공공데이터 서비스가 촉진되고 있다. 공공데이터 개방의 당초 취지는 일상 업무를 통해 만들어낸 수많은 데이터를 기업체와 국민이 쉽게 접근하고, 재사용을 가능하게 함으로써 정부는 신뢰성과 투명성을 향상시키고, 예비 창업자들에게는 새로운 시장과 창업 기회를 창출하며, 국민 참여 및 국민의 의사결정에 도움을 준다는 것이다. 하지만 이러한 정책 취지와 노력에도 불구하고 공공데이터 개방과 활용에 있어서는 여전히 어려움과 한계가 존재하고 있다. 이에 본 연구에서는 현재 진행되고 있는 정부 및 공공기관의 데이터 개방과 개방 데이터의 활용 현황을 분석, 진단해 보고 향후 공공데이터 개방 촉진 및 이용 활성화를 위한 정책적 방안을 제언해 보고자 한다.

• Proceedings of the Korean Society for Information Management Conference
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• 2016.08a
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• pp.77-80
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• 2016

국내의 공공기관들은 정부 3.0 정책에 의해 다양한 분야의 데이터를 민간에 개방하고 있다. 본 연구는 국내외의 주요 데이터 개방 사이트를 중심으로 도서관 분야 데이터 개방현황을 살펴보았다. 조사대상 사이트는 서울 열린데이터 광장, 공공데이터 포털, Data.gov 이다. 이 사이트들에서 나타난 문제점을 중심으로 오픈 데이터의 활용성 제고를 위한 개선방안을 제안하였다.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.439-447
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• 2020

Public data refers to all data or information created by public institutions, and public information that leads to communication and cooperation among all people. Public data is an important method to lead the next generation of new industries such as artificial intelligence and smart cities, Korea is continuously ranked high in the international evaluation related to public data. However, despite the continuous efforts, the use of public data or industrial influence is insufficient. Quality issues are continuously discussed in the use of public data, but the criteria for quantitatively evaluating data are insufficient. This paper reviews indicators for public data quality evaluation and performs quantitative evaluation on selected public data. In particular, the quality of open standard data constructed and opened based on public data management guidelines is examined to determine whether government guidelines are appropriate. The data quality assessment includes the metadata and data values of open standard data, and is reviewed based on completeness and accuracy indicators. Based on the data analysis results, this paper proposes policy and technical measures for quality improvement.

• Proceedings of the Korean Society for Information Management Conference
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• 2015.08a
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• pp.37-45
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• 2015

Since 2013, Korean government announced 'government 3.0' to promote public data open policy. As a result, related websites were constructed by the government. Using these websites and public data open cases, we introduced and analyzed current domestic public open data status and case analysis in Korea Republic. For websites, websites such as 'seoul open data plaza' were selected. For related cases, websites such as 'http://www.zillow.com' and 'http://blog.safecast.org' were selected. For domestic cases, a casebook which produced by Korea 'National Information Society Agency' were used. Domestic cases referred to this article were based on this book.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.758-759
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• 2019

4차산업혁명 시대의 도래로 빅데이터, AI 기술 등을 이용하여 데이터 수집, 분석, 가공, 활용에 관심이 높아졌다. 정부도 공공부문 정보시스템의 보유데이터를 개방하여 산업 전반에 데이터 연계·활용을제고하고 있다. 본 연구는 도로건설사업의 업무처리를 지원하는 건설사업정보시스템(CALS)에 보유중인 건설데이터를 개방하기 위한 방안을 마련하였다. 이를 위해 건설데이터 중 개방 가능한 데이터를 선정하고 키워드를 통한 데이터 및 파일의 정보검색 환경과 데이터 공개서비스 구축방법을 제시하였다.

• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.249-266
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• 2014

In South Korea, systems related to the provision of public data were recently implemented. As a result, policy changes have been made that are headed in the direction of actively providing open access to data held by public institutions, such as government agencies and local municipalities. The purpose of the open I will be divided into two broad. To ensure the transparency of government operations, and is intended to satisfy the right to know the people. The other one is to create national interest by utilizing the public data as one country endowment assets. In this study, we analyze the open situation of public data, were presented the improvement measures. Range of research, the public data that local government owns, to determine to have a central information and other limitations and characteristics, Seoul the beginning to the seventeen regional support municipality 228 that you have held for city districts were census. According to the research results, local governments, themselves produced, is a relatively reluctant to disclosure and understanding of the list of public data that are holdings. According to the research results, local governments, themselves produced, is a relatively reluctant to disclosure and understanding of the list of public data that are holdings, also emphasizes the conservative value than take advantage of value have had. Therefore, it was determined that there is a need to resolve several issues through disclosure via a linked data format as a strategy to increase the openness and utilization of local public data.

• Journal of Cadastre & Land InformatiX
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• v.44 no.1
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• pp.113-125
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• 2014

According to the public open data policy, the government established the demanders-oriented and customized open data plan and allowed people to use plenty of public data free. There are, however, few geospatial information systems to maximize its usability. For the purpose to make the effective geospatial information services, this study examined how data was linked between the public data portal and open platform first. And then this proposed the interface server model to support the data link between these systems technically.

• Informatization Policy
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• v.24 no.3
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• pp.27-41
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• 2017

With the growing interest in the 4th industrial revolution and big data, various policies are being developed for facilitating the use of public open big data, which are leading to a wide range of added values created from use of such data. Despite the expanded requirements for public data disclosure and the legal system improvement, however, the use of public open big data is still limited. According to the literature review, there are studies on policy proposals for the government guiding directions for public open big data, but there is a lack of studies that handle the issue from the users' viewpoint. Therefore, this study aims to analyze the public open data ecosystem in Korea and to analyze public open big data through interviews with the providers (the government and public institutions) and users (private sector companies and citizens). This way, the study finds inhibition factors and facilitation factors, draws out issues and suggests solutions through a causal relationship analysis between each factor. Being a research on finding measures for facilitating both public big data release and use, this study has theoretical implications. In the meanwhile, the derived issues and alternatives provide practical implications also for stakeholders who are planning to facilitate release and use of public open big data.