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

What is it about?

– 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 ejournal database utilisation.

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Why is it important?

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.