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Rafique A, Ameen K, Arshad A. Use patterns of e-journals among the science community: a transaction log analysis. ELECTRONIC LIBRARY 2019. [DOI: 10.1108/el-03-2019-0073] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
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/approach
Through 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.
Findings
The 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 implications
The results of the study will help the Higher Education Commission (HEC) of Pakistan and information professionals in better access management of databases.
Originality/value
This 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.
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He W, Tian X. A longitudinal study of user queries and browsing requests in a case-based reasoning retrieval system. J Assoc Inf Sci Technol 2017. [DOI: 10.1002/asi.23738] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Wu He
- Department of Information Technology & Decision Sciences; Old Dominion University; Norfolk VA USA 23529
| | - Xin Tian
- Department of Information Technology & Decision Sciences; Old Dominion University; Norfolk VA USA 23529
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Gervais S. Accès aux ressources numériques et leur utilisation par les enseignants : Résultats d’un sondage. DOCUMENTATION ET BIBLIOTHEQUES 2015. [DOI: 10.7202/1028840ar] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Cet article fait état des résultats d’une recherche menée auprès d’enseignants du niveau préscolaire et primaire d’une commission scolaire de l’Outaouais. Le questionnaire en ligne soumis aux enseignants comportait quatre sections : informations générales, recherche d’information, volet pédagogique de l’exploitation de l’information, ressources documentaires et numériques. Les résultats montrent que les enseignants ont des habitudes et des pratiques de recherche d’information semblables à celles des étudiants universitaires. Ils permettent également de constater que l’intégration de la recherche d’information en classe demeure exceptionnelle. Cette recherche révèle comment les enseignants accèdent aux ressources numériques et documentaires et les utilisent ensuite dans le cadre de leurs activités pédagogiques.
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Affiliation(s)
- Sylvie Gervais
- Bibliothécaire, Sciences humaines et sciences sociales, Université du Québec en Outaouais
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Barsky E, Bar-Ilan J. The impact of task phrasing on the choice of search keywords and on the search process and success. ACTA ACUST UNITED AC 2012. [DOI: 10.1002/asi.22654] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Elena Barsky
- Ness Technologies; Atidim Industrial Park; Bld. 1, Tel-Aviv; 61581; Israel
| | - Judit Bar-Ilan
- Department of Information Science; Bar-Ilan University; Ramat Gan; 52900; Israel
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Abstract
PurposeThis study seeks to investigate users' virtual reference queries in concert with their search histories to better understand user needs and motivations.Design/methodology/approachThe paper initially examines one semester of data, including both search histories and user questions, from a database platform virtual reference service. These data were used to develop categories of frequently occurring search problems. One year of further data (n=90) is then coded and analyzed with these categories for problems exhibited in search histories and user questions.FindingsIt was found that one‐third of users display a misunderstanding of what content they could expect to find in library databases. Users treated the databases examined as a one‐stop shop for their daily information needs. There was a positive correlation between number of databases simultaneously searched and number of searches users performed before seeking help. Additionally, it was found that users recognize when they have problems with search strategy, but they are disproportionally concerned with term selection as the cause of their trouble rather than other problems with search mechanics (i.e. Boolean operators.)Practical implicationsThe results of this study illustrate commonalities in users' expectations of what they may search for, find, or do in a database. It shows what tends to lead users to seek help with their searching, exposes how the systems can lead users astray, and illustrates basic misunderstandings of what content can be found in library databases.Originality/valueThis study is the first virtual reference study that examines users' search histories in concert with their reference queries.
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Zhang J, Wolfram D. Visual analysis of obesity‐related query terms on HealthLink. ONLINE INFORMATION REVIEW 2009. [DOI: 10.1108/14684520910944382] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Zhang J, Wolfram D, Wang P, Hong Y, Gillis R. Visualization of health-subject analysis based on query term co-occurrences. ACTA ACUST UNITED AC 2008. [DOI: 10.1002/asi.20911] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Search characteristics in different types of Web-based IR environments: Are they the same? Inf Process Manag 2008. [DOI: 10.1016/j.ipm.2007.07.010] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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