• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.417-434
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• 2009

Statistics items required by National Library Statistics System are based on data for library evaluation and policy making of library management from a theoretical standpoint. However, It is realized there are differences between Statistics items required by National Library Statistics System and those can be collected at the field of public libraries. In accordance with this point, this paper contained an analysis of a working diary log of public libraries as a basic material able to collect data at the field of public libraries and also surveyed the present usage situation of Library Management Program able to automatically collect data to recognize that National Library Statistics is reliably or validly objective data. An analysis data of this research will be a basic material to plan the standard guide of a working diary log of public libraries from now on.

• Journal of the Korean Society for information Management
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• v.30 no.2
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• pp.83-99
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• 2013

The purpose of this study was to analyze ILL data in Gyeonggi province so that it could make a further analysis on current inter-regional network of book collection in ILL. In details, this study sought to analyze inter-regional network of ILL book collection among public libraries in Gyeonggi province to examine how a collection of books could be exchanged among those libraries, and analyze possible applications of task-based data in ILL. As a result, this study could verify that the further implementation of ILL across more detailed areas than current regions for the benefit of efficient ILL, if possible, would contribute to streamlining ILL practices.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.1245-1262
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• 2017

최근 범죄예측, 교통관리, 신원확인 등 다양한 목적으로 치안 분야에서 ICT 기술이 개발 이용되고 있다. 사물인터넷의 등장으로 인해 생성되는 데이터의 양이 폭발적으로 증가하고 있으며, 이를 통해 만들어진 빅데이터는 범죄분석 및 예방, 치안수요의 예측, 범죄 수사에 있어서 새로운 변화를 가져올 것으로 예고되고 있다. 새롭게 부각된 치안분야에서의 빅데이터 활용 서비스 사례로는 범죄 예측 서비스, 교통 관련 서비스, 영상 분석과 통합 관제 서비스, 웨어러블 폴리스캠 활용서비스, 신원 확인(바이오 인식 기술)서비스 등이 있다. 선진국에서는 이들 서비스를 개발하고 활용하기 위한 다양한 공공 연구조직이 설립되어 운영되고 있다. 본 고에서는 치안분야에서 빅데이터를 기반으로 한 국내외 서비스 사례와 함께 이를 수용하기 위한 바람직한 공공 연구조직에 대한 논의를 전개한다.

• Proceedings of the Korean Society for Information Management Conference
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• 2017.08a
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• pp.33-38
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• 2017

본 연구는 연구데이터가 공공재로써 관리와 공유의 주체가 국가이어야 한다는 주장으로부터 시작하였다. 국내외의 대표적인 연구데이터 리포지터리 구축 사례를 통해 연구데이터의 관리 및 공유 현황에 대해 살펴보고, 이를 통해 국내 인문사회분야 대표 리포지터리인 한국연구재단 기초학문자료센터(KRM)의 개선방향을 확인하는 것을 목적으로 하였다. 미국, 영국, 호주의 경우와 KRM의 연구데이터관리 현황을 비교한 결과 가장 큰 차이점은 KRM의 경우 연구데이터 관리의 중요성에 대한 인식개선을 위한 교육과 실제 구축을 위한 DMP 및 메타데이터 작성 교육 등이 부재한 상황으로 연구자의 적극적 참여 유도에 긍정적 환경을 제시하지 못하고 있다는 것이다. 이외에도 장기보존을 위한 국제적 표준의 채택이나 전담 인력의 부족 또한 주요한 개선점으로 확인되었다.

• Journal of the Korean Society for information Management
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• v.37 no.3
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• pp.25-50
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• 2020

Since big data platform services for the public library began January 1, 2016, libraries have used big data to improve their work performance. This paper aims to examine the use cases of library big data and attempts to draw improvement plan to improve the effectiveness of library big data. For this purpose, first, we examine big data used while utilizing the library big data platform, the usage pattern of big data and services/policies drawn by big data analysis. Next, the limitations and advantages of the library big data platform are examined by comparing the data analysis of the integrated library management system (ILUS) currently used in public libraries and data analysis through the library big data platform. As a result of case analysis, big data usage patterns were found program planning and execution, collection, collection, and other types, and services/policies were summarized as customizing bookshelf themes for the book curation and reading promotion program, increasing collection utilization, and building a collection based on special topics. and disclosure of loan status data. As a result of the comparative analysis, ILUS is specialized in statistical analysis of library collection unit, and the big data platform enables selective and flexible analysis according to various attributes (age, gender, region, time of loan, etc.) reducing analysis time. Finally, the limitations revealed in case analysis and comparative analysis are summarized and suggestions for improvement are presented.

• The Korean Journal of Archival Studies
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• no.77
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• pp.37-74
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• 2023

As the Yoon Seok-yeol administration enters its second year in office, it is beginning to vigorously promote policies related to the "digital platform government," which is the 11th of the 120 national tasks. Accordingly, the Digital Platform Government Committee established and reported the 'Digital Platform Government Realization Plan' to the President in April 2023, and the 「Act on Provision and Use of Public Data」 and 「Data An amendment to the Act on the Vitalization of Infrastructure Administration" was submitted to the National Assembly in June 2023. In addition, the 「Regulations on the Promotion of Administrative Efficiency and Collaboration」, which is a Presidential Decree, was revised to 「Regulations on Operation and Innovation of Administrative Affairs」, including the name change, to effectively promote innovation in administrative work, and was completed on June 27, 2023. Therefore, this study aims to examine the trends of public institutions related to the digital platform government as a government task, and discuss whether the recent trends will affect the management of institutional records. Indications to respond to the government's digital platform, which is leading the way, it was emphasized that the operation of the current Medical Records Act is strange.

• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.37-43
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• 2022

The fundamental basis of AI technology is learningable data. Recently, the types and amounts of data collected and produced by the government or private companies are increasing exponentially, however, verified data that can be used for actual machine learning has not yet led to it. This study discusses the conditions that data actually can be used for machine learning should meet, and identifies factors that degrade data quality through case studies. To this end, two representative cases of developing a prediction model using public big data was selected, and data for actual problem solving was collected from the public data portal. Through this, there is a difference from the results of applying valid data screening criteria and post-processing. The ultimate purpose of this study is to argue the importance of data quality management that must be most fundamentally preceded before the development of machine learning technology, which is the core of artificial intelligence, and accumulating valid data.

• Journal of Korean Society of Archives and Records Management
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• v.14 no.4
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• pp.177-198
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• 2014

This study analyzed the meanings and other details of the provisions in line with the free use of public works introduced through the Copyright Act of Korea in Dec. 2013 in the aspect of archival information services and indicated the limitations as follows. First, not all institutions shall follow the provisions because it does not cover all institutions under the Law of Records Management in Korea. Second, even though most of works made for hire in state institutions, local governments, and public institutions are not yet made public, to enable a work to be made public is a requisite for public works to be used for free. This is to limit the scope of public works. To solve the problems, this study suggested the revision directions of the Copyright Act of Korea that every school, which creates works made for hire, are covered in the institutions that enable the free use of works and change the requisite to make a work public for the disclosure the information. This study also suggested that the element for copyright information shall be created in the records schedule for public institutions and metadata standard for records management. The copyright information shall also be described when the records are registered.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.2
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• pp.51-76
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• 2019

Records management professionals and scholars have emphasized the necessity of managing data set in administrative information systems as records, but it has not been practiced in the actual field. Applying paper-based records management standards and guidelines to data set management proved to be a difficult task because of technology-dependent characteristics, vast scale, and various operating environments. Therefore, the data set requires a management system that can accommodate the inherent characteristics of records and can be practically applied. This study developed and presented data set management methods and procedures based on the analysis of data set in public administrative information systems operating in public institutions.

• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.1-23
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• 2021

The purpose of this study is to analyze the effects of the bestseller ranks on the book circulations in public libraries. To achieve this goal, the weekly data sets of 179 books' library circulation and bestseller list from January 1, 2018 to December 29, 2019 were constructed based on the data collected from BigData MarketC and YES24. Three methods for analyzing panel data including linear regression, fixed-effect, and random effect models were compared, and it turned out that fixed-effect model was better than other methods. The results show that the average ranks of bestsellers were associated with their public library circulations visually. Also, the analysis of fixed-effect model showed that the single rank decline of a book on the bestseller list decreases its average circulation of 0.108 while the size of effect varied depending on subject of books. The study empirically demonstrated the impact of a bestseller list on people's book circulation behavior, suggesting that public libraries need to reference sociocultural context as well as bestseller book lists to predict library user needs and to formulate collection development policy.