Comparison Complexities: The Challenges of Automating Cost-per-Use Data Management
ER&L Conference Committee November 8th, 2009
Cornell University has had mixed results obtaining accurate cost-per use data for e-journals. In many cases, it is a simple feat of comparing the subscription cost to the COUNTER compliant usage data, but as we look deeper, and we continue to attempt to automate this process as much as possible, we uncover complexities that make this a considerable challenge. The matrix of possibilities for determining the actual cost associated with a particular e-journal title from amongst packages, combined subscriptions, and free with other titles scenarios makes it difficult to assign costs to individual titles. We will share our experiences and help attendees to better understand the complexities involved.
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