Introducing SAGE: An Open-Source Solution for Customizable Discovery Across Collections

Abstract

Digital libraries at research universities make use of a wide range of unique tools to enable the sharing of eclectic sets of texts, images, audio, video, and other digital objects. Presenting these assorted local treasures to the world can be a challenge, since text is often siloed with text, images with images, and so on, such that per type, there may be separate user experiences in a variety of unique discovery interfaces. One common tool that has been developed in recent years to potentially unite them all is the Apache Solr index. Texas A&M University (TAMU) Libraries has harnessed Solr for internal indexing for repositories like DSpace, Fedora, and Avalon. Impressed by frameworks like Blacklight at peer institutions, TAMU Libraries wrote an analogous set of tools in Java, and thus was born SAGE, the Solr AGgregation Engine, with two primary functions: 1) aggregating Solr indices or “cores,” from various local sources, and 2) presenting search facility to the user in a discovery interface.