• 디지털융복합연구
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• 제13권10호
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• pp.135-146
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• 2015

공공데이터 개방은 민간을 포함한 누구나 공공데이터를 자유롭게 재이용하여 국민 삶의 질을 높이고 신(新) 산업, 일자리 창출로 창조 경제 활성화에 기여하고자 하는 목표를 가진다. 공공데이터 개방은 전 세계적으로 중요성이 강조되고 있는 정책이며, 개방의 성공 사례들이 만들어지고 있다. 공공개방데이터는 공공의 목적을 달성하기 위해 이에 적합한 품질을 갖추어야 한다. 그러나 공공데이터 품질 관리와 표준화의 미흡으로 인한 오류데이터 발견 및 활용성 저하 문제가 제기되며, 품질에 관한 가이드라인이 미흡하다. 이에 본 연구에서는 기존의 데이터 품질과 공공데이터 품질, 공공 서비스 품질에 관한 복합적 시각을 적용한 연구를 통해 개방 공공데이터가 갖춰야 할 품질 특성에 대해 도출하고 전문가 설문을 통해 모델을 수정 및 검증하였으며, 그 결과 공공개방데이터의 품질 특성으로 공공성, 활용성, 신뢰성, 적합성을 도출하였다. 공공개방데이터의 품질 향상과 활용 활성화를 위해 갖춰야 할 품질 특성을 제시함에 본 연구의 의의가 있다.

• 한국IT서비스학회지
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• 제14권1호
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• pp.53-68
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• 2015

This article aims to identify the quality factors of public data which have increased as a public issue; analyze the impact of users satisfaction in the perspective of Technology Acceptance Model (TAM), and investigate the effect of service satisfaction on the government's open policy of public data. This study is consistent with Total Data Quality Management (TDQM) of MIT, it focuses on three main qualities except Contextual Data Quality (CDQ) and includes seven independent variables : accuracy, reliability, fairness for Intrinsic Data Quality (IDQ), accessibility, security for Accessibility Data Quality (ADQ), Consistent representation and understandability for Representational Data Quality (RDQ). Basing on TAM, the research model was conducted to examine which factors affect to perceived usefulness, perceived ease of use, service satisfaction and how service satisfaction affects to the government's open policy of public data. The results showed that accuracy, fairness, understandability affect both perceived ease of use and perceived usefulness; while reliability, consistent representation, security, and accessibility affect only perceived ease of use. This article found that the influence of perceived ease of use on perceived usefulness and the influence of these two causes on service satisfaction in the perspective of TAM were significant and it was consistent with prior studies. The service satisfaction when using public data leads to the reliability of public data open policy. As an initial study on unstructured public data open policy, this article offered quality factors that pubic data providers should consider and also present the operation plan of public data open policy in the future.

• 한국컴퓨터정보학회논문지
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• 제28권12호
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• pp.129-136
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• 2023

정부는 공공데이터 품질관리 수준평가를 진행하여 공공 개방데이터의 품질관리를 진행하고 있다. 공공 개방데이터는 XML, JSON, CSV 등 여러 오픈포맷 형태로 제공되며 CSV 형식이 대다수를 차지한다. 이러한 CSV 형식의 공공 개방데이터 품질진단 시 품질진단 담당자가 공공 개방데이터 파일의 필드명과 필드 내 데이터에 의존하여 필드 별 도메인을 판단하여 진단한다. 그러나 대량의 개방 데이터 파일을 대상으로 품질진단을 수행하기 때문에 많은 시간이 소요된다. 또한 의미 파악이 어려운 필드의 경우 품질진단의 정확성이 품질진단 담당자의 데이터 이해도 역량의 영향을 받는다. 본 논문은 필드명과 데이터 분포 통계를 이용한 CSV 형식 공공 개방데이터의 도메인 판별 모델을 제안하여 품질진단 결과가 품질진단 담당자의 역량에 좌지우지 되지 않도록 일관성과 정확성을 보장하고 진단 소요 시간 단축을 지원한다. 본 논문의 모델 적용 결과 행정안전부에서 제공하는 파일형식 개방데이터 진단도구보다 2.8% 높은 약 77%의 정답률을 보였다. 이를 통해 공공데이터 품질관리 수준진단·평가에 제안 모델 적용 시 정확성을 향상시킬 수 있을 것으로 기대한다.

• 무역상무연구
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• 제69권
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• pp.633-654
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• 2016

Recently open data has been spread rapidly in the world include Korea. Accordingly in international trade field open data and using it became a key point to get competitiveness. In this study, the author make an attempt to suggest the way for quality improvement of international trade information by looking for some problems with crating and using the information. Thus, the problems of using information are can be point out as follows. Firstly the range of open data is narrow. Secondly the management of the open data is not conducted properly. Thirdly the suppliers of the open data didn't prepare some investigation system for their data's usability for user. Expansion of the organizations who open data is one way to solve quantitative problem. There are four suggestions to solve qualitative problems. Firstly the guidelines should be established and operated in each organizations respectively. Secondly the criterion of expenses for open data should be arranged among the concerned parties. Thirdly the ability of the manpower and organization who charged in the quality improvement of information should be reinforced both quantitatively and qualitatively. Lastly the system for data usability for user should be equipped in early stages. Finally the author emphasize the establishment of total management system for using open data in international trade is not needed only the efforts of the specific parties but also all parties led by Ministry of Industry, Trade and Energy in order to carry out above suggestions successfully.

• 정보관리학회지
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• 제37권4호
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• pp.181-206
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• 2020

공공데이터의 개방과 제공의 활성화와 함께, 공공도서관이 업무 중에 생산한 서지 데이터와 대출 이력과 같은 데이터가 도서관 공공데이터로 제공되고 있다. 본 논문은 도서관 공공데이터의 품질을 진단하고, 그 결과를 바탕으로 도서관 공공데이터의 품질을 높일 개선방안을 제안하고자 한다. 먼저, 문헌정보학 영역에서 공공데이터에 관해 이루어진 연구를 개괄한다. 그다음으로, 도서관 공공데이터 개방 플랫폼인 도서관 정보나루의 오픈 API를 통해 확보한 도서관 공공데이터의 완전성과 정확성을 진단한다. 마지막으로, 데이터 품질 진단 결과에 바탕을 개선방안을 도출한다. 완전성을 진단한 결과, 도서의 식별과 검색을 위 필수적인 서지 요소에서 다수의 공백이 확인되었다. 정확성을 진단한 결과, 값의 유형, 값의 범위, 제한조건을 따르지 않는 부정확한 서지 요소가 확인되었다. 본 연구는 데이터 품질 진단 분석 결과를 바탕으로, 도서관 정보나루의 데이터 수집 절차 개선, 데이터별 스키마 구축, 데이터 수집과 데이터 처리에 관한 안내 제공, 원자료 공개를 제언하였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권11호
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• pp.87-96
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• 2021

Data-driven markets depend on access to data as a resource for products and services. Since the quality of information that can be drawn from data increases with the available amount and quality of the data, businesses involved in the data economy have a great interest in accessing data from other market players and sharing data with other stakeholders. Despite the growing need for access to data and evidence of the economic and social benefits, data access and sharing remains below its potential. Individuals, businesses, and governments often face barriers to data access, which may be compounded by the reluctance to share, including within and across sectors. To address these challenges, this paper focuses on finding possible solutions for a better data-sharing economy. This paper 1) Discusses opportunities and challenges of open data and the data-sharing economy, limitations of private sector data, and issues with open government data. 2) Introduces open government data initiatives and open governance networks initiatives. 3) Suggests possible solutions, including the governance and management, the legal and policy frameworks, and the technical standards for open data with proposing an open data governance model for the data-sharing economy.

• 한국IT서비스학회지
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• 제21권3호
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• pp.27-42
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• 2022

Open Data is an essential resource for the data industry. 'Act On Promotion Of The Provision And Use Of Public Data', enacted on July 30, 2013, mandates public institutions to manage the quality of Open Data and provide it to the public. Via such a legislation, the legal basis for the public to Open Data is prepared. Furthermore, public institutions are prohibited from developing and providing open data services that are duplicated or similar to those of the private sector, and private start-ups using open data are supported. However, as the demand for Open Data gradually increases, the cases of refusal to provide or interruption of Open Data held by public institutions are also increasing. Accordingly, the 'Open Data Mediation Committee' is established and operated so that the right to use data can be rescued through a simple dispute mediation procedure rather than complicated administrative litigation. The main issues dealt with in dispute settlement so far are usually the rights of third parties, such as open data including personal information, private information such as trade secrets, and copyrights. Plus, non-open data cannot be provided without the consent of the information subject. Rather than processing non-open data into open data through de-identification processing, positive results can be expected if consent is provided through active rights processing of the personal information subject. Not only can the Public Mydata Service be used by the information subject, but Open Data applicants will also be able to secure higher quality Open Data, which will have a positive impact on fostering the private data industry. This study derives a plan to establish a rights processing platform to enhance the usability of Open Data, including private information such as personal information, trade secrets, and copyright, which have become an issue when providing Open Data since 2014. With that, the proposals in this study are expected to serve as a stepping stone to revitalize private start-ups through the use of wide Open Data and improve public convenience through Public MyData services of information subjects.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.426-432
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• 2013

The construction industry consists of various and massive architectural information as an architectural process includes a variety of design stages with cooperation of many disciplines. Particularly, architectural information is generated and managed through the life cycle of a building, from conceptual design stage to the construction and maintenance. A Building Information Model (BIM) serves as a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life-cycle from inception onward. BIM technology accomplished quantitative development being utilized in various disciplines. However, it is necessary to develop environment and requirement for qualitative improvement of BIM based project. Particularly, requirement is very important for architectural design evaluations. The purpose of this study is to develop and apply of quality control requirement for improving the quality of architectural design in open BIM environments. To achieve this purpose, the authors have investigated case study for open BIM data quality control (software, guideline and application case) and classified quality control targets according to physical/logical quality and data quality. In addition, the authors have defined open BIM based quality control process and developed quality control requirements. Finally, the authors have developed rule based quality check system using requirements for efficient quality control based on open BIM.

• 품질경영학회지
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• 제49권1호
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• pp.61-79
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• 2021

Purpose: The purpose of this study is to study the relative weights of Quality Scorecard (QSC) which was developed for a new quality concept, called Open Quality, in the era of Industry 4.0. Open Quality aims to ensure quality responsibility by accurately measuring the quality level and sharing the quality data with stakeholders. Methods: To analyze the importance of QSC, a survey study was conducted based on 10 types of industry. The relative weights of QSC measures are investigated by both the industry types and the organizational life cycle. Further, the relative importance of QSC was analyzed according to the organization's lifecycle. By dividing the aspects with respect to the result data, application method for QSC is further provided. Results: The result indicates that there are significant differences among Korean companies in terms of the level of Industry revolution stages. Among ten industry types, manufacturing and finance sectors show the highest importance of QSC. QSC measures are also considered more importance in growth stage of the maturity cycle than generator and decline stages. Conclusion: When QSC is adopted for Open Quality, its relative weights must be considered to cope with the unique characteristics of industrial types. Besides, QSC's contribution may vary according to the level of maturity of the target company.

• 한국콘텐츠학회논문지
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• 제20권9호
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• pp.439-447
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• 2020

공공데이터는 공공기관이 전자적으로 생성 또는 취득하여 관리하고 있는 모든 정보와 전자화된 파일이다. 공공데이터는 인공지능, 스마트 시티 등 차세대 신산업을 견인하는 중요한 요소로 인식되고 있다. 한국은 공공데이터 개방과 관련된 국제 평가에서 연속적으로 높은 순위에 위치하고 있다. 그럼에도 불구하고 공공데이터의 활용과 산업적 영향은 미흡하다. 공공데이터의 활용이 미흡한 이유는 다양할 수 있지만, 데이터 품질은 지속적으로 논의되는 주요 이슈이다. 본 논문은 공공데이터 품질 평가를 위한 지표를 검토하고, 개방된 공공데이터를 대상으로 정량적 품질 평가를 수행한다. 특히, 공공데이터 관리지침을 기준으로 구축 및 개방된 개방표준 데이터의 품질을 진단하여 정부의 가이드라인이 적합한지 검토한다. 데이터 품질평가는 개방표준 데이터의 메타데이터와 데이터값을 포함하고, 완전성과 정확성 지표를 기준으로 검토한다. 데이터 분석결과를 바탕으로 품질 개선을 위한 정책적·기술적 방안을 제안한다.