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collection_analysis_task_force_catf_recommendations_2017 [2017/04/04 14:10] skrash |
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G. Use LibQUAL, MINES, collection use, and demographic data to develop a deeper understanding of the users and non-users of library collections. This includes relevant analysis of user status, affiliation, purpose of use and format/type of resource. | G. Use LibQUAL, MINES, collection use, and demographic data to develop a deeper understanding of the users and non-users of library collections. This includes relevant analysis of user status, affiliation, purpose of use and format/type of resource. | ||
- | H. Scholarly Communications, Reserves Staff and the Data Analysis Librarian: Look at subject areas for content being added to ScholarWorks and tie Open Access initiatives and e-reserves data into collection assessment activities. | + | H. Scholarly Communications, Reserves Staff and the <del>Data</del> Collections Analysis Librarian: Look at subject areas for content being added to ScholarWorks and tie Open Access initiatives and e-reserves data into collection assessment activities. |
I. E-resource usage data is available from varied sources: vendor usage statistics, proxy server data, and MINES data. Use this information for subscription review and to identify areas of overlap and areas that are underrepresented in the collection. Establish regular e-resource reviews (every 3-5 years as able/needed) and engage key stakeholders across campus on a regular basis in e-resource reviews. See Appendix D. | I. E-resource usage data is available from varied sources: vendor usage statistics, proxy server data, and MINES data. Use this information for subscription review and to identify areas of overlap and areas that are underrepresented in the collection. Establish regular e-resource reviews (every 3-5 years as able/needed) and engage key stakeholders across campus on a regular basis in e-resource reviews. See Appendix D. |