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Use patterns of e-journals among the science community: a transaction log analysis

机译：科学界中电子期刊的使用模式：交易记录分析

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摘要

Purpose This study aims to explore the evidence-based patterns of e-journal usage, such as the most used and least used databases, at a public-sector university in Pakistan, by analysing scientists' usage of databases over time. Design/methodology/approach Through transaction log analysis, the frequencies of page views, sessions, session duration and size of the used data were calculated through SAWMILL software and entered into MS Excel. Findings The results revealed that the broad databases of science and engineering were being used more by users as compared to the narrower e-journal databases. Furthermore, the users were mostly accessing the e-journal databases from the university's central library and its various academic departments. Early morning hours, working days and start of the academic year were found to be the most active timings of e-journal database utilisation. Practical implications - The results of the study will help the Higher Education Commission (HEC) of Pakistan and information professionals in better access management of databases. Originality/value This study was conducted to check the feasibility of a PhD project's first phase and presents the frequencies of HEC e-journal databases' usage by using transaction log analysis method. The results will be used in preparing interview guide and sample selection for interview. Other Central Asian studies used COUNTER reports provided by publishers for log analysis instead of using raw log data.
机译：目的本研究旨在通过分析科学家在一段时间内对数据库的使用情况，探索基于证据的电子期刊使用模式，例如巴基斯坦一所公立大学中使用最频繁和使用最少的数据库。设计/方法/方法通过事务日志分析，通过SAWMILL软件计算页面浏览频率，会话频率，会话持续时间和所用数据的大小，并将其输入MS Excel。结果结果表明，与较狭窄的电子期刊数据库相比，用户正在使用广泛的科学和工程数据库。此外，用户大多从大学的中央图书馆及其各个学术部门访问电子期刊数据库。人们发现，凌晨，工作日和学年开始是电子期刊数据库使用最活跃的时间。实际意义-研究结果将有助于巴基斯坦高等教育委员会（HEC）和信息专业人员更好地访问数据库。独创性/价值这项研究旨在检查博士学位项目第一阶段的可行性，并通过事务日志分析方法介绍了HEC电子期刊数据库的使用频率。结果将用于准备面试指南和选择面试样本。其他中亚研究使用出版商​​提供的COUNTER报告进行日志分析，而不是使用原始日志数据。

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