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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) 0.02
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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.
Allard, S.; Levine, K.J.; Tenopir, C.: Design engineers and technical professionals at work : observing information usage in the workplace (2009) 0.01
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Abstract

This exploratory study examines how design engineers and technical professionals (hereafter referred to as engineers) in innovative high-tech firms in the United States and India use information in their daily work activities including research, development, and management. The researchers used naturalistic observation to conduct a series of daylong workplace observations with 103 engineers engaged in product design and testing in four U.S.- and two India-based firms. A key finding is that engineers spend about one fourth of their day engaged in some type of information event, which was somewhat lower than the percentage identified in previous research. The explanation may be rooted in the significant change in the information environment and corporate expectations in the last 15 years, which is the time of the original study. Searching technology has improved, making searching less time consuming, and engineers are choosing the Internet as a primary source even though information may not be as focused, as timely, or as authoritative. The study extends our understanding of the engineering workplace, and the information environment in the workplace, and provides information useful for improving methods for accessing and using information, which could ultimately lead to better job performance, facilitate innovation, and encourage economic growth.

Date

22. 3.2009 12:43:37

Tenopir, C.; Ro, J.S.: Full text databases (1990) 0.01

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Series: New directions in information management; 21

Tenopir, C.: Information metrics and user studies (2003) 0.01
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Abstract

Three questions - what can be studied; how can studies be done; and what can be measured - drive research methods and help to identify information metrics for user studies. User studies can investigate user needs, search strategies, or preferences. Observing and asking, the two main methods for conducting user studies, yield quantitative and qualitative data through studying patterns of behavior and insights into motivation. ciber (Centre for Information Behaviour and the Evaluation of Research, City University, London) is in a good position to continue supporting information user behavior studies that use a variety of methods to gather both qualitative and quantitative data and help establish consistent metrics.

Tenopir, C.; Lundeen, G.: Managing your information : how to design and create a textual database on your microcomputer (1988) 0.01

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Series: Applications in information management and technology series

Wang, P.; Hawk, W.B.; Tenopir, C.: Users' interaction with World Wide Web resources : an exploratory study using a holistic approach (2000) 0.01

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Source: Information processing and management. 36(2000) no.2, S.229-251

Tenopir, C.; Ennis, L.: ¬The digital reference work of academic libraries (1998) 0.00

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Source: Online. 22(1998) no.4, S.22-28

Tenopir, C.; Wang, P.; Zhang, Y.; Simmons, B.; Pollard, R.: Academic users' interactions with ScienceDirect in search tasks : affective and cognitive behaviors (2008) 0.00

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Source: Information processing and management. 44(2008) no.1, S.105-121

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) 0.00
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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.

Tenopir, C.: Reference services from RLG (1995) 0.00

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Date: 25.11.1995 19:22:01

Tenopir, C.: Integrating electronic reference (1995) 0.00

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Date: 25.11.1995 19:22:01

Tenopir, C.; Neufang, R.: Electronic reference options : how they stack up in research libraries (1992) 0.00

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Source: Online. 16(1992) no.2, S.22-28

Sandusky, R.J.; Tenopir, C.: Finding and using journal-article components : impacts of disaggregation on teaching and research practice (2008) 0.00
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Abstract

This article reports the results of a study into the use of discrete journal-article components, particularly tables and figures extracted from published scientific journal articles, and their application to teaching and research. Sixty participants were introduced to and asked to perform searches in a journal-article component prototype that presents individual tables and figures as the items returned in the search results set. Multiple methods, including questionnaires, observations, and structured diaries, were used to collect data. The results are analyzed in the context of previous studies on the use of scientific journal articles and in terms of research on scientists' use of specific journal-article components to find information, assess its relevance, read, interpret, and disaggregate the information found, and reaggregate components into new forms of information. Results indicate that scientists believe searching for journal-article components has value in terms of (a) higher precision result sets, (b) better match between the granularity of the prototype's index and the granularity of the information sought for particular tasks, and (c) fit between journal-article component searching and the established teaching and research practices of scientists.

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