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Zack Lane ReCAP Coordinator July 19, 2012 ReCAP Columbia University
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ReCAP Columbia University Data ◦ FY12 ◦ Trends High Use Titles ◦ Discussion ◦ When and where ◦ Criteria? ◦ Deciders
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ReCAP Columbia University General information Statistics Analysis Department- specific information Department projects Documentation
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ReCAP Columbia University Problem identification Generate a report Diagnose systematic and isolated problems Fix and document Orphans are major problem Many are ILS (LMS) specific
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ReCAP Columbia University Clear Tier 12 to make space for RBML Multiple phases ◦ Smart barcoding (MRP) ◦ Single-vol monographs (Zack Lane) ◦ Multi-vol sets (Bill Austin) ◦ Bound-withs (Zack Lane) ◦ Rare books/Pre-1830 (Zack Lane) ◦ Serials (tbd) ◦ Inventory (Zack Lane) Single-vols in Dewey’s now complete
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TOTAL 1,336,908 / 173,723 ◦ Request Rate: 1.74% off,bmc: 10,735 / 2,568 (7.13%) off,glx : 1,319,137 / 170,726 (1.72%) off,ref : 7,036 / 429 (0.78%) ReCAP Columbia University
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View of Butler Library accessions by fiscal year Transfer began in 2002 Compare to syste-wide, three phases: Load In, Middle Phase and Restrained Accession numbers estimated ahead of time using yearly quotas Quotas linked to acquisition rate and need ReCAP Columbia University
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ReCAP Columbia University
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ReCAP Columbia University
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ReCAP Columbia University Requests begin immediately after transfer Monthly request volumes in phase with academic calendar Data for lower-use collections is noisy
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ReCAP Columbia University
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ReCAP Columbia University
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ReCAP Columbia University
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ReCAP Columbia University
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ReCAP Columbia University
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ReCAP Columbia University Request rate is a measure of collection usage It is the percentage of ReCAP collections requested during a twelve-month period CUL target request rate is 2.00% per year This figure was based on data from peer institutions Initial purpose of ReCAP was to shelve low- use collections LIFESPAN : Rate from opening to current fiscal year ANNUAL : Rate during single fiscal year
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ReCAP Columbia University
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ReCAP Columbia University De-accession will never be automatic Too many variables High-use is any title requested 5+ times Titles may have multiple volumes Difficult to tease out details New method: ratio of title requests/volumes
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ReCAP Columbia University
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ReCAP Columbia University
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ReCAP Columbia University
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ReCAP Columbia University
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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 Univeristy
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