Analyzing digital collections entrances: What gets used and why it matters

Abstract

This paper analyzes usage data from Hunter Library's digital collections using Google Analytics for a period of twenty-seven months from October 2013 through December 2015. The authors consider this data analysis to be important for identifying collections that receive the largest number of visits. We argue this data evaluation is important in terms of better informing decisions for building digital collections that will serve user needs. The authors also study the benefits of harvesting to sites such as the Digital Public Library of America, and they believe this paper will contribute to the literature on Google Analytics and its use by libraries.