reflect on what data might be needed to inform a demand-driven acquisition initiative,
find specific sources of evidence to support decisions about DDA.
Previous discussions of Demand-Driven Acquisition (DDA) have focused on experimental or otherwise tentative implementations. In this presentation, librarians from Wake Forest University describe how they mined print circulation data and vendor-supplied DDA statistics to make DDA setup decisions with confidence. The Collections Librarian from the University of Kansas describes how her library combined DDA and Approval, allowing subject librarians to choose a price limit for automatic approval purchases, then loading records for monographs over the price limit into the library catalog as DDA.
Carol J. Cramer, Wake Forest University
Derrik Hiatt, Wake Forest University
Lea Currie, University of Kansas Libraries