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ASCC: ReCAP Data Summary

ASCC: ReCAP Data Summary. Zack Lane ReCAP Coordinator August 30, 2011. ReCAP Columbia University. ReCAP Data “Automated”. Three main categories: request , accession and circulation Request and accession sets developed and refined 2008-2010 MS Office 2010 allows better “ automation ”

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ASCC: ReCAP Data Summary

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  1. ASCC:ReCAP Data Summary Zack Lane ReCAP Coordinator August 30, 2011 ReCAP Columbia University

  2. ReCAP Data “Automated” • 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 ReCAP Columbia University

  3. “Automation” ReCAP Columbia University

  4. Where is the data? • 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

  5. ReCAP/Department Websites ReCAP Columbia University

  6. Circulation • 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

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  13. Request • 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. Accession Statistics • 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

  19. LOAD IN MIDDLE PHASE 3rd ReCAP Columbia University

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

  23. Language • 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

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  27. Retrieval Rate by Department ReCAP Columbia University

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  35. More Data Available • More information about data sets can be found on the ReCAP 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 systems ReCAP Columbia University

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