Zack Lane ReCAP Coordinator July 31, 2012 ReCAP Columbia University
ReCAP Columbia University Three main categories: request, accession and circulation Request and accession sets developed and refined MS Office 2010 allows better “automation” Data flows into Excel, pivot table, pivot charts and PowerPoint. Beginning to “standardize” system-wide and department reports Plan to push data and analysis out
ReCAP Columbia University
ReCAP Columbia University ReCAP Data Center is clearinghouse for system-wide data and analysis ◦ Request rate ◦ Timing of requests ◦ High use titles ◦ High volume requests ◦ EDD ◦ Publication Date (Monographs) Department websites have both explicit data and presentations
ReCAP Columbia University
ReCAP Columbia University Mining ReCAP data but also looking at system-wide and department trends Internship project found evidence in data of: ◦ Policy changes: REG loan period 4-weeks to 1 term ◦ System/Procedure: BDirect loans charge to BDX ◦ User behavior patterns: charge/renewal patterns Dept. analysis limits by happening location Crafting analysis will be iterative process Note: Circ data includes on campus collections Can interesting visuals be useful?
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
Tailored to both department data and need Available on ReCAP website Metrics by ◦ Activity types ◦ Total charges ◦ Patron Group ◦ Sub-collections ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
516,165 total requests since ReCAP opened ◦ FY09 : 69,060 ◦ FY10 : 71,119 ◦ FY11 : 71,582 ◦ FY12 : 72,786 Includes both patron and staff requests Excludes many staff requests Represents only CUL activity at the ReCAP facility Patron access to offsite collections is excellent: dynamic with few failures ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University 3,726,036 accessions since ReCAP opened in January 2002 ◦ FY10 : 209,630 ◦ FY11 : 183,324 ◦ FY12 : 173,299 Does not includes Columbia Law Library ◦ 283,626 accessions 9,659,753 total accessions at ReCAP
ReCAP Columbia University
ReCAP Columbia University
There are two types of delivery from ReCAP: physical delivery and EDD EDD is a value added service provided to Columbia University Libraries patrons .pdf scans are made of journal articles and book chapters EDD is limited to only patrons with borrowing privileges (implemented 8/22/11)8/22/11 Detailed information for staff can be found on the ReCAP EDD websiteReCAP EDD website ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
Request rate is a measure of collection usage It is the percentage of ReCAP collections requested during a twelve-month period Provides staff one way to gauge overall use of offsite collections Request rate is one factor used to structure ReCAP facility staffing model Patron access to offsite collections is excellent: dynamic with few failures ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University High Volume (>20) requests had become a problem for both CUL and ReCAP staff ◦ Burdensome pick-lists for ReCAP staff ◦ ReCAP Staff retrieves and packs at an average rate of 65 per 2 hours ◦ Processing deliveries is time-consuming ◦ Circulation staff have difficulty finding adequate space to hold ◦ CUL staff viewed requests as “impulsive” since they often did not use all material (sometimes none of the material)
ReCAP Columbia University Request limit set Nov. 5, 2009 Documentation herehere 20 volume limit was precedent from Prentis Did it work? (Short answer: yes)
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University If 20 is max, would patrons compensate with several smaller requests? And how do we know? ◦ LV (low volume) : 1-10 items ◦ MLV (mid-low volume) : ◦ MHV (mid-high volume) : ◦ HV (high volume) : 21+ Did patrons compensate to MHVs? (Short answer: yes, but that’s ok)
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University It is not possible to measure the impact of the pop-up or notification messages:
ReCAP Columbia University Data suggested a 2.04% overall reduction based on FY09 statistics Impact not yet totally quantified, but apparent Before : HV average size 38.4 items and items requested per month After : HV average size 31.3 items and 81.5 items requested per month Anecdotal impact: no complaints
More information about data sets can be found on the ReCAP Data Center websiteReCAP Data Center website Primary data categories include: accession, retrieval, delivery and circulation Tailored data sets and analysis will be provided to staff via the ReCAP Coordinator Please see the main ReCAP website for general information about CUL procedures and systemsReCAP website ReCAP Columbia University