Zack Lane ReCAP Coordinator August 30, 2011 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 Department analysis limited to happening location Crafting analysis will be iterative process Can interesting visuals be useful?
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University
443,311 total requests since ReCAP opened ◦ FY08 : 59,755 ◦ FY09 : 69,060 ◦ FY10 : 71,119 ◦ FY11 : 71,513 Includes both patron and staff, EDD and physical delivery 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 3,554,494 accessions since ReCAP opened in January 2002 ◦ FY08/09 : 308,486 ◦ FY09/10 : 209,668 ◦ FY10/11 : 183,394 Columbia Law Library ◦ 276,825 accessions 30,000 more are Orphan barcodes 8,616,724 total accessions at ReCAP
ReCAP Columbia University LOAD INMIDDLE PHASE3rd
ReCAP Columbia University
ReCAP Columbia University
ReCAP Columbia University Performed with request and accession data sets Reveals aspects of collection usage and trends Never perfect or absolutely complete
ReCAP Columbia University Distribution by language includes all items 424 total languages Top ten language in ReCAP collections ◦ English : 49.9% ◦ German : 7.8% ◦ Japanese : 5.5% ◦ Chinese : 5.4% ◦ French : 5.2% ◦ Spanish : 3.9% ◦ Russian : 3.8% ◦ [none] : 2.4% ◦ Italian : 2.1% ◦ Korean : 1.4%
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
ReCAP Columbia University
ReCAP Columbia University
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