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Nicholas, D.; Huntington, P.; Jamali, H.R.; Tenopir, C.: What deep log analysis tells us about the impact of big deals : case study OhioLINK (2006)
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- Abstract
- Purpose - This article presents the early findings of an exploratory deep log analysis of journal usage on OhioLINK, conducted as part of the MaxData project funded by the US Institute of Museum and Library Services. OhioLINK, the original "big deal", provides a single digital platform of nearly 6,000 full-text journal for more than 600,000 people in the state of Ohio. The purpose of the paper is not only to present findings from the deep log analysis of journal usage on OhioLINK, but, arguably more importantly, to try test a new method of analysing online information user behaviour - deep log analysis. Design/methodology/approach - The raw server logs were obtained for the period June 2004 to December 2004. For this exploratory study one month (October) of the on-campus usage logs and seven months of the off-campus transaction logs were analysed. Findings - During this period approximately 1,215,000 items were viewed on campus in October 2004 and 1,894,000 items viewed off campus between June and December 2004. The paper presents a number of usage analyses including: number of journals used, titles of journals used, use over time, a returnee analysis and a special analysis of subject, date and method of access. Practical implications - The research findings help libraries evaluate the efficiency of big deal and one-stop shopping for scholarly journals and also investigate their users' information seeking behaviours. Originality/value - The research is a part of efforts to test the applications of a new methodology, deep log analysis, for use and user studies. It also represents the most substantial independent analysis of, possibly, the most important and significant of the journal big deals ever conducted.
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Huntington, P.; Nicholas, D.; Jamali, H.R.; Tenopir, C.: Article decay in the digital environment : an analysis of usage of OhioLINK by date of publication, employing deep log methods (2006)
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- Abstract
- The article presents the early findings of an exploratory deep log analysis of journal usage on OhioLINK, conducted as part of the MaxData project, funded by the U.S. Institute of Museum and Library Services. OhioLINK, the original Big Deal, provides a single digital platform of nearly 6,000 full-text journals for more than 600,000 people; for the purposes of the analysis, the raw logs were obtained from OhioLINK for the period June 2004 to December 2004. During this period approximately 1,215,000 items were viewed on campus in October 2004 and 1,894,000 items viewed off campus between June and December 2004. This article provides an analysis of the age of material that users consulted. From a methodological point of view OhioLINK offered an attractive platform to conduct age of publication usage studies because it is one of the oldest e-journal libraries and thus offered a relatively long archive and stable platform to conduct the studies. The project sought to determine whether the subject, the search approach adopted, and the type of journal item viewed (contents page, abstract, full-text article, etc.) was a factor in regard to the age of articles used.
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Tenopir, C.; Ennis, L.: ¬The digital reference work of academic libraries (1998)
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- Source
- Online. 22(1998) no.4, S.22-28
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Tenopir, C.: Reference services from RLG (1995)
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- Date
- 25.11.1995 19:22:01
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Tenopir, C.: Integrating electronic reference (1995)
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- Date
- 25.11.1995 19:22:01
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Tenopir, C.; Neufang, R.: Electronic reference options : how they stack up in research libraries (1992)
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- Source
- Online. 16(1992) no.2, S.22-28
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Allard, S.; Levine, K.J.; Tenopir, C.: Design engineers and technical professionals at work : observing information usage in the workplace (2009)
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- Date
- 22. 3.2009 12:43:37
