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A Study on Big Data Analysis of Public Library in Busan: Based on the Library Collection/Circulation Data

부산지역 공공도서관의 빅데이터 분석 연구 - 도서관 정보나루 장서/대출데이터를 중심으로 -

  • 이순영 (부산대학교 문헌정보학과) ;
  • 이수상 (부산대학교 문헌정보학과)
  • Received : 2021.10.18
  • Accepted : 2021.11.15
  • Published : 2021.11.30

Abstract

This study analyzed the previous studies and utilization cases on library big data, and based on this, analyzed the collection/circulation data of the library big data platform and tried to derive meaningful analysis results. And five analysis indicators were selected: the increase rate of collections by annual, the composition of collections by subject, the composition of unborrowed collections by subject, the rate of borrowed collections, and use factor by subject. The analysis data is 6,722,603 cases of collection/circulation data from 33 public libraries in Busan. The main analysis results are as follows. First, it was found that the gap in the number of circulation was larger than the number of collection in the 33 public libraries. Second, the annual increase rate of collections also showed a clear decline. Third, each library showed a similar pattern in the composition of both the collections and the unborrowed collections by subject. Fourth, it was found that users' circulation were very different by subject and library. Fifth, in most libraries, the rate of circulation of collections and use factor in the natural science field were the highest.

본 연구는 학계와 현장의 도서관 빅데이터 관련 움직임을 살펴보고 이를 토대로 도서관 빅데이터 플랫폼인 도서관 정보나루의 장서/대출데이터를 대상으로 기초 분석을 수행하였다. 이를 위해 도서관과 빅데이터에 관한 선행연구와 활용사례를 참고하여 연도별 장서증가량, 주제별 장서구성비, 미대출 장서구성비, 주제별 장서회전율, 그리고 주제별 이용계수의 5가지 분석지표를 선정하였다. 분석에 사용된 도서관 데이터는 부산지역 33개 공공도서관의 장서/대출데이터 6,722,603건이다. 주요한 분석 결과는 다음과 같다. 첫째, 33개 공공도서관 간 장서수보다 대출수의 격차가 큰 것으로 나타났다. 둘째, 연간 장서증가량도 뚜렷한 하락세를 보였다. 셋째, 소장 장서의 주제별 구성과 미대출 장서의 주제별 구성에 있어서 각 도서관들이 비슷한 양상을 나타냈다. 넷째, 이용자들의 대출은 주제별, 도서관별로 매우 상이한 것으로 나타났다. 다섯째, 대부분의 도서관에서 자연과학 분야 장서회전율과 이용계수가 가장 높게 나타났다.

Keywords

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