Usage Metrics for Open Access Repositories
Abstract
Recent studies point to an increased focus on metrics / measuring in regard to open access repositories (OAR). Whereas historically the display of download figures for popular content was a way of promoting an OAR within its respective institution, more recently interest has shifted on how to better utilise OAR usage statistics for more formalised purposes. The authors examine the nature of the more commonly used web-based repository approaches, identify their major shortcomings, and describe recent initiatives to enhance functionality. They then discuss citation analysis and proposals to link this to web-based usage statistics, ...
View more >Recent studies point to an increased focus on metrics / measuring in regard to open access repositories (OAR). Whereas historically the display of download figures for popular content was a way of promoting an OAR within its respective institution, more recently interest has shifted on how to better utilise OAR usage statistics for more formalised purposes. The authors examine the nature of the more commonly used web-based repository approaches, identify their major shortcomings, and describe recent initiatives to enhance functionality. They then discuss citation analysis and proposals to link this to web-based usage statistics, particularly in the context of high-level drivers focused on research quality and effectiveness. The paper concludes by outlining opportunities for institutions to engage with new metric models.
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View more >Recent studies point to an increased focus on metrics / measuring in regard to open access repositories (OAR). Whereas historically the display of download figures for popular content was a way of promoting an OAR within its respective institution, more recently interest has shifted on how to better utilise OAR usage statistics for more formalised purposes. The authors examine the nature of the more commonly used web-based repository approaches, identify their major shortcomings, and describe recent initiatives to enhance functionality. They then discuss citation analysis and proposals to link this to web-based usage statistics, particularly in the context of high-level drivers focused on research quality and effectiveness. The paper concludes by outlining opportunities for institutions to engage with new metric models.
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Conference Title
AusWeb 2007: 13th Australasian World Wide Web Conference
Copyright Statement
© The Author(s) 2007 Griffith University. For information about this conference please refer to the conference website or contact the authors. The attached file is posted here with permission of the copyright owners for your personal use only. No further distribution permitted.