AbstractSelecting a web-scale discovery service is a large and important undertaking that involves a significant investment of time, staff, and resources. Finding the right match begins with a thorough and carefully planned evaluation process. In order to be successful, this process should be inclusive, goal-oriented, data-driven, user-centered, and transparent. The following article offers a step-by-step guide for developing a web-scale discovery evaluation plan rooted in these five key principles based on best practices synthesized from the literature as well as the author’s own experiences coordinating the evaluation process at Rutgers University. The goal is to offer academic libraries that are considering acquiring a web-scale discovery service a blueprint for planning a structured and comprehensive evaluation process.
SubjectsAcademic libraries, Information retrieval, User interfaces (Computer systems), Commercial products--Evaluation
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