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Nicholas, D.; Huntington, P.; Jamali, H.R.; Rowlands, I.; Dobrowolski, T.; Tenopir, C.: Viewing and reading behaviour in a virtual environment : the full-text download and what can be read into it (2008)
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- Abstract
- Purpose - This article aims to focus on usage data in respect to full-text downloads of journal articles, which is considered an important usage (satisfaction) metric by librarians and publishers. The purpose is to evaluate the evidence regarding full-text viewing by pooling together data on the full-text viewing of tens of thousands of users studied as part of a number of investigations of e-journal databases conducted during the Virtual Scholar research programme. Design/methodology/approach - The paper reviews the web logs of a number of electronic journal libraries including OhioLINK and ScienceDirect using Deep Log Analysis, which is a more sophisticated form of transactional log analysis. The frequency, characteristics and diversity of full-text viewing are examined. The article also features an investigation into the time spent online viewing full-text articles in order to get a clearer understanding of the significance of full-text viewing, especially in regard to reading. Findings - The main findings are that there is a great deal of variety amongst scholars in their full-text viewing habits and that a large proportion of views are very cursory in nature, although there is survey evidence to suggest that reading goes on offline. Originality/value - This is the first time that full-text viewing evidence is studied on such a large scale.
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Douglass, K.; Allard, S.; Tenopir, C.; Wu, L.W.; Frame, M.: Managing scientific data as public assets : data sharing practices and policies among full-time government employees (2014)
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- Abstract
- This paper examines how scientists working in government agencies in the U.S. are reacting to the "ethos of sharing" government-generated data. For scientists to leverage the value of existing government data sets, critical data sets must be identified and made as widely available as possible. However, government data sets can only be leveraged when policy makers first assess the value of data, in much the same way they decide the value of grants for research outside government. We argue that legislators should also remove structural barriers to interoperability by funding technical infrastructure according to issue clusters rather than administrative programs. As developers attempt to make government data more accessible through portals, they should consider a range of other nontechnical constraints attached to the data. We find that agencies react to the large number of constraints by mostly posting their data on their own websites only rather than in data portals that can facilitate sharing. Despite the nontechnical constraints, we find that scientists working in government agencies exercise some autonomy in data decisions, such as data documentation, which determine whether or not the data can be widely shared. Fortunately, scientists indicate a willingness to share the data they collect or maintain. However, we argue further that a complete measure of access should also consider the normative decisions to collect (or not) particular data.
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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
