圖書館電子資源使用分析模式之研究--以醫學電子資源為例
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Date
2014-01-01
Authors
游忠諺
謝建成
Journal Title
Journal ISSN
Volume Title
Publisher
淡江大學資訊與圖書館學系
Abstract
隨著網路興盛與蓬勃發展，電子資源的重要性與時俱進。實務上，圖書館所能獲取之COUNTER統計報表缺乏電子資源實際使用者與所屬單位等相關詳細資訊，因此無法針對使用者或實際使用單位作進階使用分析。為解決圖書館在電子資源使用分析時所遭遇之困難，本研究提出一電子資源使用分析模式，透過網際網路紀錄檔，以系統化方法轉換、清理、整合、分析巨量電子資源使用數據。為聚焦及簡化分析模式之探討，本研究以某醫學大學圖書館所訂購醫學電子資源為研究個案，依訂購年度、期刊、學院、特定學科領域，及特定文獻等常見需求項目進行統計分析。其結果除可作為圖書館館藏政策制訂與使用者行為分析參考，彙整資料亦可應用於資訊計量、資訊行為、書目探勘等研究領域，提供更多元議題之探討。
With the advents of internet, the importance of electronic resources is growing. Due to the increasing expensiveness of electronic resources, university libraries normally received budgets from parent institutions annually. They necessarily applied effective and systematic methods for decision making in electronic resources purchase or re-subscription. However, there are some difficulties in practices: First of all, libraries are unable to receive user records; second, the COUNTER statistics does not include details about users and their affiliation. As a result, one cannot conduct advanced user analysis based on the usage of users, institutions, and departments. To overcome the difficulties, this study presents a feasible model to analyze electronic resource usage effectively and flexibly. We set up a proxy server to collect actual u sage raw data. B y analyzing items in internet browsing records, associated with original library automatic system, this study aims at exploring how to use effective ways to analyze big data of website log data. We also propose the process of how original data to be transformed, cleared, integrated, and demonstrated. This study adopted a medical university library and its subscription of medical electronic resources as a case. Our data analysis includes (1) year of subscription, (2) title of journal, (3) affiliation, (4) subjects, and (5) specific journal requirements, etc. The findings of the study are contributed to obtain further understanding in policy making and user behavior analysis. The integrated data provides multiple applications in informatics research, information behavior, bibliomining, presenting diverse views and extended issues for further discussion.
With the advents of internet, the importance of electronic resources is growing. Due to the increasing expensiveness of electronic resources, university libraries normally received budgets from parent institutions annually. They necessarily applied effective and systematic methods for decision making in electronic resources purchase or re-subscription. However, there are some difficulties in practices: First of all, libraries are unable to receive user records; second, the COUNTER statistics does not include details about users and their affiliation. As a result, one cannot conduct advanced user analysis based on the usage of users, institutions, and departments. To overcome the difficulties, this study presents a feasible model to analyze electronic resource usage effectively and flexibly. We set up a proxy server to collect actual u sage raw data. B y analyzing items in internet browsing records, associated with original library automatic system, this study aims at exploring how to use effective ways to analyze big data of website log data. We also propose the process of how original data to be transformed, cleared, integrated, and demonstrated. This study adopted a medical university library and its subscription of medical electronic resources as a case. Our data analysis includes (1) year of subscription, (2) title of journal, (3) affiliation, (4) subjects, and (5) specific journal requirements, etc. The findings of the study are contributed to obtain further understanding in policy making and user behavior analysis. The integrated data provides multiple applications in informatics research, information behavior, bibliomining, presenting diverse views and extended issues for further discussion.