• Informatization Policy
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• v.24 no.1
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• pp.48-78
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• 2017

In this study, to reveal determinant factors for degree of open data it conduct empirical analysis for ODB(Open Data Barometer) and OUR Index(Open, Useful, Reusable Government Data Index) that are global open data index among 26 countries. As a result of multiple regression analysis, First focus is on ODB. In the Model 1 with independent variables, e-Government, SW Market size and government efficacy are significantly positive effect for ODB. In the Model 2 with independent variables and moderating variable, e-Government, SW market size and social capital are significantly positive effect for ODB. In the Model 3 with independent variables, moderating variable and interaction term, e-Government and social capital are significantly positive effect for ODB. Second focus is on OUR Index. In the Model 1 and the Model 2 e-Government is significantly positive effect for OUR Index. In the Model, e-Government and SW market size ${\times}$ social capital(interaction term) are significantly positive effect for OUR Index. And in path analysis, only ODB alternative model show Government efficacy with social capital has full mediation effect. In OUR Index alternative model there is no mediation effect with social capital.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.375-377
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• 2017

전 세계적으로 공공데이터를 민간에 개방하고자 하는 노력으로 오픈데이터(Open Data) 정책을 도입하고 있다. 최근 보건의료에서는 삶의 방식과 환경의 변화로 인해 다양한 질병에 노출될 가능성이 증가하면서 예방과 진료를 목적으로 의료기관을 이용하려는 고객의 수 또한 지속적으로 증가하고 있는 추세이다. 이에 이 논문에서는 공공데이터 심사평가원에서 제공하는 보건의료 공공데이터를 활용하여 의료기관 정보에 대한 대용량 데이터를 활용하여 앱을 개발하였다. 개발된 내용은 심사평가원의 의료기관별 정보와 구글 맵 Open API를 통해 병원 위치를 지도를 통해 제공하며, 추가적으로 각 병원별 진료과목, 시설 정보 등의 상세정보를 제공한다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.27 no.2
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• pp.51-80
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• 2016

Recently in accordance with Government 3.0 policy, public data is being released in large quantities and entrepreneurs are succeeding in utilizing this policy to develop products and apps that increase the convenience of the people to use the information. As libraries belong to the public domain, libraries must open a variety of data to the public in accordance with the Government 3.0 policy, and make the various applications utilizing the data. Therefore, this study investigated the government 3.0 Policy, classified the success cases of the applications according to specific criteria, identified data having high availability from the library data, and tried to discover data that can increase the utilization value through the library from other subject areas. An awareness survey was conducted of librarians of the University and Special Library and the results are as follows: First, librarians' awareness about the Government 3.0 was more than the average of 3.6, whereas for the initiatives presented in 3.0. Second, those responding that the government 3.0 policy would have a positive effect on libraries were six times higher than those responding negatively. Third, the respondents listed the ways that the policy can be effectively utilized in the library, in order, as providing to the user public open data classified by topic, providing user education about utilizing method of public open data, and privacy-related user education regarding open data utilization. Fourth, there was overall agreement by the respondents that public open data would be helpful in improving the library's changing role and image, with 60% responding in a positive way.

• Korea Information Processing Society Review
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• v.23 no.5
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• pp.53-63
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• 2016

국/내외의 공공 데이터 공유 개방 흐름에 힘입어, 데이터기반의 다양한 비즈니스 기회가 창출되면서, 데이터를 효과적으로 공유 관리하기 위한 오픈 데이터플랫폼이 공공, 과학기술 분야를 중심으로 확산 발전하고 있다. 공공분야에서는 공공데이터 공유를 위한 CKAN, Socrata 등의 플랫폼이 있으며, 연구분야에서는 DSpace를 기관 데이터 공유 레파지토리(repositories)들이 있다. 국내외에 이러한 플랫폼을 이용하여 데이터를 공유하거나, 분야별로 데이터 저장소들이 증가일로에 있다. 나아가, 최근 단순히 공유하는 것을 뛰어넘어 사용자들에게 데이터 분석을 용이하게 하는 분석 개발 서비스환경을 제공하는 시도가 MS, Google, AWS등에서 보이고 있다. 본 논문에서는 이러한 일련의 플랫폼 개발 동향 및 그들의 특징을 살펴보고, 현존하는 분석형 데이터 플랫폼이 지향하는 기능들에 대해 살펴보기로 한다.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.425-433
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• 2018

Recently, the rate of openness of public data has increased and related development is also increasing. As recent government policies have also focused on opening public data, the Public Data Index among OECD member nations has been ranked first for two consecutive years. However, despite the government's interest and active support, the post-start-up survival rate was the lowest among the OECD countries. The lowest survival rate was found to be the biggest failure factor for consumers to exhibit unwanted products. In this study, we analyze the desired parts of the consumers that are lacking in the start-up and propose the service of location analysis. In this process, we utilize data related to entrepreneurship among various public data supported by the government.

• Informatization Policy
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• v.22 no.1
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• pp.28-46
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• 2015

Although the demand for the use of public data increases in accordance with the expansion of Government 3.0, the poor level of data quality and its management currently implemented is becoming obstacles to opening data to the public. To improve the efficiency of management, linkage and usage for data, standardized processes for data quality management have to be prepared and appropriate data quality assessment criteria should be established. In this paper, we propose the organizational maturity model that can assess the public data quality management level. This model consists of the process reference model and the measurement framework. Fifteen processes grouped by the PDCA cycle are defined in the process reference model. The measurement framework measures the organizational maturity level based on process capability levels. The organizational maturity model can be used to establish objectives and directions for public data quality improvement by diagnosis of current level of public data quality management and problem solving. This model can also facilitate open to the private sector and activate usage of stable public data through reliability enhancement.

• Knowledge Management Research
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• v.21 no.4
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• pp.243-263
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• 2020

The purpose of this study is to propose the performance measurement model for open big data platform. In order to develop the performance measurement model, we have integrated big data reference architecture(NIST 2018) with performance prism model(Neely et al. 2001) in the platform perspective of open big data. Our proposed model consists of five key building blocks for measuring performance of open data platform as follows: stakeholder contribution, big data governance capabilities, big data service capabilities, big data IT capabilities, and stakeholder satisfaction. In addition, our proposed model have twenty four evaluation indices and seventy five measurement items. We believe that our model could offer both research and practical implications for relevant research.

• Journal of the HCI Society of Korea
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• v.10 no.1
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• pp.5-17
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• 2015

Nowadays various public data have been serviced to the public. Through the opening of public data, the transparency and effectiveness of public policy developed by governments are increased and users can lead to the growth of industry related to public data. Since end-users of using public data are citizens, it is very important for everyone to figure out the meaning of public data using proper visualization techniques. In this work, to indicate the significance of widespread public data, we consider UN voting record as public data in which many people may be interested. In general, it has high utilization value by diplomatic and educational purposes, and is available in public. If we use proper data mining and visualization algorithms, we can get an insight regarding the voting patterns of UN members. To visualize, it is necessary to measure the voting similarity values among UN members and then a social graph is created by the similarity values. Next, using a graph layout algorithm, the social graph is rendered on the screen. If we use the existing method for visualizing the social graph, it is hard to understand the meaning of the social graph because the graph is usually dense. To improve the weak point of the existing social graph visualization, we propose Friend-Matching, Friend-Rival Matching, and Bubble Heap algorithms in this paper. We also validate that our proposed algorithms can improve the quality of visualizing social graphs displayed by the existing method. Finally, our prototype system has been released in http://datalab.kunsan.ac.kr/politiz/un/. Please, see if it is useful in the aspect of public data utilization.

• The Magazine of Kiice
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• v.15 no.2
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• pp.37-42
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• 2014

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.219-220
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• 2022

In order to meet the trend, construction public data are already disclosing not only data generated at the construction site but also various data ranging from inspection reports and public construction contracts through multiple portals. However, unlike the excellence of the open performance evaluated by the number of data, it is difficult to evaluate the specific level of disclosure because there is no case of analyzing the quality, ease of use, and possibility of further opening of the public construction data set. On the other hand, performance measurement is already performed using an internationally agreed evaluation method in different fields such as real estate, population, and environment. So it is essential to analyze the current status of public data openings in the construction field and to derive improvement tasks. Therefore, this study conducted a survey of researchers with the highest system utilization targeting representative public data open systems in the construction field, such as E-AIS(세움터) and KISCON. To ensure fairness and increase comparability, the questionnaire was composed using evaluation items on implementing public data conducted annually by the World Wide Web Foundation, an international non-profit organization. With these responses, we investigated the status of public data disclosure and opinions on data quality and derived tasks to improve public data disclosure in construction through the analysis of the results.