No abstract

In this paper, data of almost 8 million loans of books recorded for 15 years by the Korea University Library are analyzed by using big data analytic techniques. During this period, book circulation decreased with an average annual rate of decline of 4.4%. The use factor of books in each Dewey decimal classification (DDC) class was evaluated to measure how efficiently books were used by library users. Loan frequencies of books were analyzed and meaningful results regarding loan concentrations and the half-lives of books were obtained. It was observed that 50% of the total loans in each year were for 20% of all borrowed books in that year. This phenomenon will be called the 20/50 loan rule, and the set of the top 20% most borrowed books, whose cumulative loan frequencies reach 50% of total loans, will be called a core collection. The 20/50 loan rule shows the loan concentration of library books. The extent of loan concentration gets stronger if loans for two or more consecutive years are concerned. It was found that with high probability, books in a core collection at a specific year are also categorized as a core collection in next years. Moreover, books categorized as a core collection in consecutive years have longer half-lives compared with all other circulating books.

This study aims to conduct and analyze in-depth interviews with researchers and experts of data analysis and visualization to maximize the data utilization of the Web archive OASIS (Online Archiving & Searching Internet Sources, hereafter OASIS), which holds a large number of materials in the fields of Humanities and Social Science. Based on the analysis, improvement plans for Web archive service are suggested. To do this, first, a group of each three researchers from Humanities and Social Sciences with experience in web archiving or digital archiving are selected to collect and analyze opinions on 13 detailed questions on importance, utility, and usability of OASIS. Second, two data experts with experience in building and providing visualization services are selected to collect and analyze opinions on data accumulation, data visualization, and text analysis that strengthen usability after building a Web archive. As a result, it is suggested to build an operating system for strengthening the analysis expertise of OASIS, a Web archive based on personalized service by user type, integrated analysis platform, and data base expansion. This improvement plan can be a starting point to provide useful Web resource for researchers and to enhance the practical value of web resource.

No abstract