1. Zack Lane ReCAP Coordinator August 30, 2011 ReCAP Columbia University

2. ReCAP Columbia University  Three main categories: request, accession and circulation  Request and accession sets developed and refined 2008-2010  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

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4. 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

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6. 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?

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13.  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

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18. 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

19. ReCAP Columbia University LOAD INMIDDLE PHASE3rd

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22. ReCAP Columbia University  Performed with request and accession data sets  Reveals aspects of collection usage and trends  Never perfect or absolutely complete

23. 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%

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35.  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