March 16, 2018

Evidence-Based Acquisition: Leveraging Both Usage Data and Librarian Expertise

Presented by: JSTOR & Library Journal
Event Date & Time: Tuesday, August 29th, 2017, 3:00 PM – 4:00 PM ET / 12:00 PM – 1:00 PM PT

Ebook acquisition has been transformed by models like DDA and PDA that expose a large set of content to library patrons and base purchases on demonstrated demand. However, there’s no one-size-fits-all solution, and some libraries have sought more predictable costs and mediation of title selection. Evidence-Based Acquisition (EBA) allows librarians to combine insights from usage data with their deep knowledge of local research and teaching needs—helping to build an ebook collection to serve users now and in the future.

In this webcast, we’ll explore how ebook acquisition models have evolved to provide greater control and flexibility. We’ll share how JSTOR developed its new EBA model with input from library participants, and the benefits and trade-offs of this model. Librarians will discuss the strategic shifts in their collection development policies, and what they’ve learned from implementing EBA—including its effects on costs, cataloging workflows, title selection, and user reception. There will be time for questions and discussion as well.


  • Brian C. Gray, Team Leader for Research Services and Engineering Librarian, Case Western Reserve University
  • Amy McColl, Assistant Director for Collections, Swarthmore College
  • Valerie Yaw, Senior Marketing Manager, JSTOR


  • Matt Enis, Senior Editor, Technology for Library Journal

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