Abstract In 2015, the University of California, Berkeley, launched EBSCO Discovery Service (EDS), a web-scale discovery tool, with a goal of improving visibility and usage of collections. This study applies linear regression analysis to usage data for ebooks, ejournals, and abstracts and indexing (A&I) databases before and after implementation of EDS in order to identify correlations between the discovery layer and usage of library electronic resources across platforms. Our findings diverge from conclusions drawn in the previous literature that indicates that resource use generally increases after a discovery tool is implemented. We examine data from a longer period of time than the previous literature had, looking for statistically significant changes in resource use. The discovery layer at UC Berkeley did not lead to equal increases across platforms, but rather to a complex array of increases and decreases in use according to a variety of factors.

中文翻译：

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网络规模发现对电子资源使用的影响

摘要 2015 年，加州大学伯克利分校推出了 EBSCO 发现服务 (EDS)，这是一种网络规模的发现工具，旨在提高馆藏的可见性和使用率。本研究对 EDS 实施前后的电子书、电子期刊以及文摘和索引 (A&I) 数据库的使用数据进行线性回归分析，以确定发现层与跨平台图书馆电子资源使用之间的相关性。我们的发现与之前文献中得出的结论不同，这些结论表明在实施发现工具后资源使用通常会增加。我们检查了比以前文献更长的时间段的数据，寻找资源使用的统计显着变化。