• Title/Summary/Keyword: 도서관 빅데이터

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Research on the Current Status of Public Libraries' Future Competency Programs and Social Awareness Survey (공공도서관의 미래역량 프로그램 현황 및 사회적 인식조사 연구)

  • Youngji Shin
    • Journal of Korean Library and Information Science Society
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    • v.54 no.4
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    • pp.151-178
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    • 2023
  • At a time when libraries are attracting attention as institutions and spaces that can foster future capabilities, this study conducts a general survey of the current status of public library programs related to the future capabilities and investigate the social awareness on libraries and future capabilities through big data analysis. As a result, first, programs are being planned and provided with the keyword of future capabilities, but most of them are limited to makerspace programs, edutech programs, and experience programs. Also, the detailed types of programs are limited to 3D print, coding, AR, VR, etc. In addition, current library programs related to future capabilities are not subdivided by each competency, these programs are provided in the comprehensive sense of future competency. Second, in the awareness survey through big data analysis, education, future capabilities, and libraries were found to be highly frequent, and it was seen that library reading, books, culture, and programs were related to strengthening future capabilities. Accordingly, in the future, libraries need to develop and provide systematic programs to cultivate future capabilities, and there is also a need to develop future capabilities improvement programs that take the life cycle into account.

Analysis of Public Library Operations and Uses of 16 Metropolitan Local Governments of Korea by Using the Chernoff Face Method (체르노프 페이스를 사용한 광역자치단체 공공도서관 운영 및 이용 분석)

  • Kim, Young-seok
    • Journal of the Korean Society for Library and Information Science
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    • v.51 no.1
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    • pp.271-287
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    • 2017
  • This study aims to conduct a big data analysis of public library operations and uses of 16 metropolitan local government of Korea by using the Chernoff face method. This study is the first to use the Chernoff face method for big data analysis of library services in library and information research. The association of variables and human facial features was decided by survey. The study reveals that in general the provincial governments in Korea operate more libraries, invest more budgets, allocate more staff and hold more collections than metropolitan cities. This administration resulted in more use of libraries in provincial governments than metropolitan cities.

An Analysis of News Trends for Libraries in Korea: Based on 1990~2018 News Big Data (도서관에 대한 언론 보도 경향: 1990~2018 뉴스 빅데이터 분석)

  • Han, Seunghee
    • Journal of the Korean Society for information Management
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    • v.36 no.3
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    • pp.7-36
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    • 2019
  • In this study, quantitative and content analysis was conducted on 37,818 news articles that were reported on the subject of 'library' for 29 years from 1990 to 2018 in order to analyze the tendency of media coverage about 'library'. First, the quantitative change in media coverage was analyzed according to the criteria by time, subject and media type. In addition, keyword frequency analysis and semantic network analysis were conducted to analyze the trends of the contents of the press and the frames inherent in the press. The results showed that the media showed a major interest in the library's informational, educational, and cultural functions, and the trend of the subject's interest was generally consistent with that of the library community, except for the issue of librarianship. Lastly, the main attitudes that the media take toward the reporting of library articles were the reporting and advertising functions.

Journal Subscription Value Curation Service Based on Incremental Big Data Learning (점진적 빅데이터 학습기반의 전자저널 구독가치 큐레이션 서비스)

  • Lee, Jeong-won;Jin, Seong-il
    • Proceedings of the Korea Contents Association Conference
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    • 2019.05a
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    • pp.409-410
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    • 2019
  • 점진적 빅데이터 학습 기반의 전자저널 구독가치 큐레이션 서비스는 대용량의 학술정보 처리환경을 하드웨어 기반에서 소프트웨어 기반으로 데이터를 학습함에 있어 학습 소요시간 및 메모리 부족 문제 등을 해결하기 위해 널리 사용하는 자질축소 기법에 의존하지 않고 대량의 데이터를 자유롭게 학습하고 증분 데이터 변경요소만을 추가 반영할 수 있는 범용적이고 일반적인 분류기의 구조설계 방법이다. 학술정보의 논문요약과 참고문헌의 데이터 수집 정제 분류 저장 분석을 통해 활용할 수 있는 지표를 생성하여 도서관 학교 공공기관 연구기관 등에 제공하여 기관에서 구독하고 있는 학술지가 연구에 얼마나 활용되고 있는지를 판단하는 정보 가용성을 활용한 양질의 정보원을 확보하여 불필요한 저널 구독을 중단하고 연구자가 요구하는 품질 좋은 학술정보를 제공할 수 있는 서비스로 일반적인 학술문헌 이용도 평가방법과 달리 구독 가치에 대한 지표를 제공하는 큐레이팅 방법이다.

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A Study on the Introduction of Library Services Based on Cloud Computing (클라우드 컴퓨팅 기반의 도서관 서비스 도입방안에 관한 연구)

  • Kim, Yong
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.23 no.3
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    • pp.57-84
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    • 2012
  • With the advent of Big data era unleashed by tremendous increase of structured and unstructured data, a library needs an effective method to store, manage and preserve various information resources. Also, needs of collaboration of libraries are continuously increased in digital environment. As an effective method to handle the changes and challenges in libraries, interest on cloud computing is growing more and more. This study aims to propose a method to introduce cloud computing in libraries. To achieve the goals, this study performed the literature review to analyze problems of existing library systems. Also, this study proposed considerations, expectations, service scenario, phased strategy to introduce cloud computing in libraries. Based on the results extracted from cases that libraries have introduced cloud computing-based systems, this study proposed introduction strategy and specific applying areas in library works as considered features of cloud computing models. The proposed phased strategy and service scenario may reduce time and effort in the process of introduction of cloud computing and maximize the effect of cloud computing.

Analysis of the Loan Statistics of Public Libraries for Discussion of the Introduction of Public Lending Right (공공대출보상권 제도 논의를 위한 공공도서관 대출 통계 분석)

  • Lee, Heung Yong;Kim, Young-Seok
    • Journal of Korean Library and Information Science Society
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    • v.50 no.3
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    • pp.217-238
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    • 2019
  • Recently, interest in Public Lending Right has increased in Korea. This study aims to collect valuable data necessary for the discussion of the introduction of Public Lending Right by analyzing the loan statistics of 820 public libraries nationwide for five years from 2014 to 2018. In order to analyze the loan statistics of Korean public libraries, 1,178,300,000 big data provided by 'Data for Library' operated by the National Library of Korea were used. Through the analysis of loan statistics, 125 books were identified, which have been lent the most in the last five years. The study examined the 125 books to find out who are authors and Japanese authors and authors' nationality. The study also analyzed publishers and number of lending of cartoons.

A Study on the Impact of the Epidemic Disease on the Number of Books Checked Out of the Public Libraries: Based on the Middle East Respiratory Syndrome Coronavirus (유행성 질병이 공공도서관의 대출책수에 미치는 영향: 메르스 사태를 중심으로)

  • Kim, Wan-Jong
    • Journal of the Korean Society for information Management
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    • v.32 no.4
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    • pp.273-287
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    • 2015
  • This study aimed to investigate the impact of the epidemic disease including Middle East Respiratory Syndrome Coronavirus (MERS) on the usage of public libraries. Such disease yields anxiety throughout the nation and discourages social activities in general. 18,711,453 records from 303 public libraries were examined with "big data retrieval & analysis platform for public libraries" located in Sejong National Library. The results are as follows. First, in 2015, when MERS was prevalent, the daily mean of books checked out was 64,645.05, showing decrease of 6,300 per day compared to that of 2014. Second, in 2014, the daily mean of books checked out from July 5th to August 19th was greater than that of from April 4th to May 19th and that of from May 20th to July 4th, implying the impact of summer vacation on the increase in books checked out in public libraries. Third, in 2015, the daily mean of books checked out from July 5th was greater than during MERS outbreak(from May 20th to July 4th), while it did not show statistically significant difference with that of before the outbreak. Fourth, the daily mean of books checked out did not show statistically significant difference between 2014 and 2015 before and during the outbreak, while it showed statistically significant difference between 2014 and 2015 after the epidemic period. The results indicate that MERS and the anxiety it brought nationwide had an impact on the daily mean of books checked out in public libraries after the epidemic period rather than during the outbreak.

The Effects of the Bestseller Ranks on Public Library Circulation: Based on Panel Data Analysis (베스트셀러 순위가 공공도서관 대출에 미치는 영향 분석: 패널자료 분석을 중심으로)

  • Lee, Jongwook;Kang, Woojin;Park, Jungkyu
    • 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.

A Study on the Perception and Experience of Daejeon Public Library Users Using Text Mining: Focusing on SNS and Online News Articles (텍스트마이닝을 활용한 대전시 공공도서관 이용자의 인식과 경험 연구 - SNS와 온라인 뉴스 기사를 중심으로 -)

  • Jiwon Choi;Seung-Jin Kwak
    • Journal of the Korean Society for Library and Information Science
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    • v.58 no.2
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    • pp.363-384
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    • 2024
  • This study was conducted to examine the user's experiences with the public library in Daejeon using big data analysis, focusing on the text mining technique. To know this, first, the overall evaluation and perception of users about the public library in Daejeon were explored by collecting data on social media. Second, through analysis using online news articles, the pending issues that are being discussed socially were identified. As a result of the analysis, the proportion of users with children was first high. Next, it was found that topics through LDA analysis appeared in four categories: 'cultural event/program', 'data use', 'physical environment and facilities', and 'library service'. Finally, it was confirmed that keywords for the additional construction of libraries and complex cultural spaces and the establishment of a library cooperation system appeared at the core in the news article data. Based on this, it was proposed to build a library in consideration of regional balance and to create a social parenting community network through business agreements with childcare and childcare institutions. This will contribute to identifying the policy and social trends of public libraries in Daejeon and implementing data-based public library operations that reflect local community demands.