From PDA/DDA to EBA: Following the Data Monica Metz-Wiseman, Interim Director, Academic Resources Laura Pascual, Electronic Resources Librarian University of South Florida ALA Midwinter, 2016
All those acronyms DDA - Demand-Driven Acquisitions PDA - Patron-Driven Acquisitions STL - Short-Term Loan EBA - Evidence-Based Acquisitions
Overview Why PDA? Why EBA? Impact of using data
Who we are Comprehensive, multi-campus research university, FTE: 32,400 – 48,300 headcount University of South Florida is one of the twelve public universities in the Florida system
Our materials budget Approval plan and $1.5 million -print monographic spend (2010) Shift from 24% of budget for print monographs (2010) to .5% (2015) Overall materials budget from 2010-2015 Protect the journal
PDA/DDA program EBL/ProQuest # of visible ebooks varies 250,000 – 400,000 Average spend per year: $350,000 Owned titles 9600+ 3 STL’s prior to purchase Dynamic profile Student funded
PDA/DDA data – what do we get? Content Data for all titles on the platform almost 780,000 titles Cost Expenditure data by title/transaction about 77,000 transactions Usage Counter Book Reports 1,3 & 6 PDA Usage by title/patron/use type 72,634 titles used. 41,489 unique users.
PDA/DDA data – what can we do with it? Program Management Catalog Maintenance Collection Assessment Drive Purchasing
PDA/DDA data – how do we manipulate it? Tools Platform Admin (LibCentral) ILS (Aleph) Excel, Access MarcEdit, Notepad++ Skills Data Transfer Matching Grouping Queries Processes Standard Weekly, Ad Hoc Reports
PDA/DDA data – what we learned Analysis of Content, Cost, Usage by Publisher Discipline/Subject Purchase Type Periodic/Over Time Timing/Course related Rising STL Costs, Embargoes and Financial Burden Increased Profile Management Indications for EBA
Evidenced-Based data Less data due to one publisher Cross-platform duplication with aggregators Less data analysis required
Evidence-Based programs Wiley (3 years) - funded Project Muse (2 years) – funded Oxford University Press (pending) Taylor & Francis (pending) Elsevier - funded
Impact of using the data Compelling argument Domino effect Funding during a weak economic period