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

Use patterns of e-journals among the science community: a transaction log analysis 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/approachThrough 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.FindingsThe 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 implicationsThe results of the study will help the Higher Education Commission (HEC) of Pakistan and information professionals in better access management of databases.Originality/valueThis 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Electronic Library Emerald Publishing

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

The Electronic Library , Volume 37 (4): 20 – Sep 6, 2019

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0264-0473
DOI
10.1108/el-03-2019-0073
Publisher site
See Article on Publisher Site

Abstract

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/approachThrough 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.FindingsThe 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 implicationsThe results of the study will help the Higher Education Commission (HEC) of Pakistan and information professionals in better access management of databases.Originality/valueThis 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.

Journal

The Electronic LibraryEmerald Publishing

Published: Sep 6, 2019

Keywords: Pakistan; Databases; E-journals; Log analysis; Use patterns; HEC digital library; HEC databases

References