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| Format: | Recurso educativo Open Access |
| Sprache: | en |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://eric.ed.gov/?id=EJ1427102 |
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| _version_ | 1867181861955960832 |
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| author | Simon Robins |
| author_facet | Simon Robins Simon Robins |
| collection | Education Resources Information Center |
| contents | Are We Relying on the Wrong Data? Analysis of E-Journal Usage Data at Seven R1 and R2 Research Universities Simon Robins Research Universities Journal Articles Electronic Journals Use Studies Data Use Bibliographic Databases Academic Libraries Library Materials Content Analysis Public Colleges Private Colleges Trend Analysis Electronic Publishing Publishing Industry Search Engines Web Sites Visual Aids Users (Information) Using data from seven R1 and R2 universities in Ohio, this study seeks to determine the extent of usage of full-text e-journal articles stored across multiple platforms. Specifically, COUNTER 5 data is presented from five major academic journal publishers (Taylor & Francis, SAGE, Oxford, Wiley, and Springer), looking at usage within each of the publishers' respective platforms, as well as in EBSCO, JSTOR, and OhioLINK's Electronic Journal Center platform. The overarching goal of the analysis is to identify where exactly usage occurred for this e-journal content within the different platforms, especially in cases where an individual title has duplicate full-text access. Analysis of this data was conducted using Tableau and Excel. Findings raise significant questions about end-user behavior in terms of students' and faculty's ability to locate full text, regardless of whether it is discoverable from Google or other commercial search engines. The findings also suggest a strong connection between EBSCO usage and the academic calendar, with peak usage (as a percentage of overall usage) occurring in October, November, March, and April. Lastly, findings for Taylor & Francis e-journals within EBSCO call into question what these duplicate holdings mean for "big deal" subscription packages. |
| format | Recurso educativo Open Access |
| id | eric_EJ1427102 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 2024 |
| record_format | eric |
| spellingShingle | Are We Relying on the Wrong Data? Analysis of E-Journal Usage Data at Seven R1 and R2 Research Universities Simon Robins Research Universities Journal Articles Electronic Journals Use Studies Data Use Bibliographic Databases Academic Libraries Library Materials Content Analysis Public Colleges Private Colleges Trend Analysis Electronic Publishing Publishing Industry Search Engines Web Sites Visual Aids Users (Information) Are We Relying on the Wrong Data? Analysis of E-Journal Usage Data at Seven R1 and R2 Research Universities Simon Robins Research Universities Journal Articles Electronic Journals Use Studies Data Use Bibliographic Databases Academic Libraries Library Materials Content Analysis Public Colleges Private Colleges Trend Analysis Electronic Publishing Publishing Industry Search Engines Web Sites Visual Aids Users (Information) Using data from seven R1 and R2 universities in Ohio, this study seeks to determine the extent of usage of full-text e-journal articles stored across multiple platforms. Specifically, COUNTER 5 data is presented from five major academic journal publishers (Taylor & Francis, SAGE, Oxford, Wiley, and Springer), looking at usage within each of the publishers' respective platforms, as well as in EBSCO, JSTOR, and OhioLINK's Electronic Journal Center platform. The overarching goal of the analysis is to identify where exactly usage occurred for this e-journal content within the different platforms, especially in cases where an individual title has duplicate full-text access. Analysis of this data was conducted using Tableau and Excel. Findings raise significant questions about end-user behavior in terms of students' and faculty's ability to locate full text, regardless of whether it is discoverable from Google or other commercial search engines. The findings also suggest a strong connection between EBSCO usage and the academic calendar, with peak usage (as a percentage of overall usage) occurring in October, November, March, and April. Lastly, findings for Taylor & Francis e-journals within EBSCO call into question what these duplicate holdings mean for "big deal" subscription packages. |
| title | Are We Relying on the Wrong Data? Analysis of E-Journal Usage Data at Seven R1 and R2 Research Universities |
| topic | Research Universities Journal Articles Electronic Journals Use Studies Data Use Bibliographic Databases Academic Libraries Library Materials Content Analysis Public Colleges Private Colleges Trend Analysis Electronic Publishing Publishing Industry Search Engines Web Sites Visual Aids Users (Information) |
| url | https://eric.ed.gov/?id=EJ1427102 |