This poster presents preliminary Google Analytics usage data for a collection of electronic theses and dissertations (ETDs). Correlation of page views with page type, user location, and source (referring link) shows that, during the study period, most in-state users found the collection via internal sources (University links) and viewed mostly home and navigation pages, while most out-of-state users found the collection via external sources (search engines, databases) and viewed mostly bibliographic information pages. Nearly all of those who viewed actual ETDs were out-ofstate "direct" users who may have bookmarked the collection during a previous visit.
Purpose – The purpose of this study was to examine factors influencing user selection of individual works in a collection of digitized sheet music. Design/methodology/approach – Google Analytics page view data were grouped by source (directing link) and correlated with five factors: inclusion in a collaborative indexing project (Sheet Music Consortium); browse list order; cover appearance; inclusion in mini-collections; and presence of links to audio versions. Findings – Four of the five factors examined showed some influence on user selection: Works listed in the Sheet Music Consortium had more views/work than those not listed; Works at the top of the Sheet Music Consortium browse list had more views by Consortium users than those lower down; Works with cover graphics had more views/work than those with covers containing words alone; Works included in mini-collections received more views/work from users with access to those mini-collections; Works with links to audio versions did not have more views/work than works without links. Practical implications – The most important finding of this study is that the best way to increase the use of individual collection items may be to participate in a large and well-known collaborative index such as the Sheet Music Consortium. Originality/value – This is the first study using Google Analytics to examine factors influencing user selection of individual digital collection items.
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