Citation
(2009), "2009 Awards for Excellence", The Electronic Library, Vol. 27 No. 6. https://doi.org/10.1108/el.2009.26327faa.002
Publisher
:Emerald Group Publishing Limited
Copyright © 2009, Emerald Group Publishing Limited
2009 Awards for Excellence
Article Type: 2009 Awards for Excellence From: The Electronic Library, Volume 27, Issue 6
The following article was selected for this year's Outstanding Paper Award for The Electronic Library
``User diversity: as demonstrated by deep log analysis''
David NicholasPaul HuntingtonHamid R. JamaliSchool of Library, Archive and Information Studies, University College London, London, UK
Purpose – The purpose of this paper is to demonstrate a novel form of deep log analysis by linking questionnaire data with transactional server log data generated by the same users; and to provide a richer understanding of the information-seeking behaviour of a strategic community of virtual scholars.Design/methodology/approach – Usage statistics were obtained from logs for an 18-month period: 16,865 sessions were covered and 110,029 pages were viewed. Searching behaviour was studied with regard to number of returned hits and number of searches in a session. A questionnaire survey was also conducted to identify ScienceDirect users according to the subject/discipline to which they belonged and attitude towards some scholarly communication issues. The answers of more than 750 ScienceDirect users to the questionnaire were linked to the usage logs of the same users through matching internet protocol (IP) addresses.Findings – The study reveals large differences between scholars in different subjects in terms of information-seeking behaviour and their interaction with electronic journal systems.Practical implications – The findings can be utilised to improve electronic journal systems such as ScienceDirect in order to provide more suitable service for users in different subjects.Originality/value – The originality of the paper lies in its methodology that links questionnaire attitudinal data to the web log data of the same users at individual level to gain a better understanding of users' behaviour.Keywords Data analysis, Electronic journals, User studies
www.emeraldinsight.com/10.1108/02640470810851716
This article originally appeared in Volume 26 Number 1, 2008, pp. 21-38, The Electronic Library
The following articles were selected for this year's Highly Commended Award
``Diversification . . . where libraries, riff-raff and Crusty Demons meet!''
Meg BryantRobyn Pengelly
This article originally appeared in Volume 26 Number 5, 2008, The Electronic Library
``Collaborative design: a learner-centered library planning approach''
Mary M. SomervilleLydia Collins
This article originally appeared in Volume 26 Number 6, 2008, The Electronic Library
``A metadata manager's role in collaborative projects: the Rutgers University Libraries experience''
Li Sun
This article originally appeared in Volume 26 Number 6, 2008, The Electronic Library