Assessing Return on Investment for E-Resources: A Cross-Institutional Analysis of Cost-Per-Use Data
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Date
2011-01-09
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Authors
Carr, Patrick L.
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East Carolina University
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.
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Citation
ALA Midwinter Meeting. San Diego, USA/California.