Assessing Return on Investment for E-Resources: A Cross-Institutional Analysis of Cost-Per-Use Data

Abstract

Libraries often rely on cost-per-use (CPU) data to measure the return on investment for their e-resource subscriptions. By comparing CPU data supplied by several libraries, this presentation will provide added context to CPU-based assessments. It will explore what a cross-institutional CPU analysis reveals about libraries varying returns for their subscriptions, and it will consider the potential that such an analysis has to increase returns on investment.