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Both Columbia and Cornell handle similar material, process priority and non-priority orders, and receive them in similar ways.  However, there are significant differences in policies, practices and workflows between the two institutions and some of these are inherent in the systems utilized to ingest and place orders.  Columbia utilizes GOBI as its main discovery, selection and ordering tool for domestic and UK imprints that are not specialized material, e.g., fine art and architecture and music scores.  The POOF is primarily used by selectors to submit orders and OAR staff enter the orders directly into Voyager after ingesting the record using WorldCat's Connexion.  OAR Unit staff are authorized to approve purchase orders in Voyager and are reviewed by the Order Unit Librarian or Head, MAS before they are forwarded to vendors.  Cornell does not use GOBI in the same manner as Columbia.  Cornell's primary discovery, selection and ordering tool is WCS.  The use of WCS at Cornell informs their practices and workflows.  Cornell's ordering staff do not approve POs in Voyager; supervisors of ordering staff approve POs on a daily basis.  Cornell's ordering staff create new orders using the POOF whereas Columbia enters them directly into Voyager.

 

 

Summarize dependencies and limitations in working with other functional units at Columbia and Cornell.

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Investigation: Members of the Working Group shared and posted respective documentation on baseline productivity numbers between fiscal years 2009 and 2012 on Basecamp and the 2CUL wiki.  The productivity numbers were discussed in detail during phone conversations, email correspondence, and a face-to-face meeting.

Please see "Baseline Productivity Numbers - Ordering Group."             

As mentioned in the summary of staffing and expertise section of this report, the processing of CJKT material takes place in C.V. Starr East Asian Library which is physically and organizationally outside of the Monographs Processing Services Division at Columbia.  Cornell processes materials in CJKT within their central Library Technical Services division.  This organizational difference explicates the three distinct groups of baseline productivity numbers displayed in our reports: Columbia, Columbia-Starr (C.V. Starr East Asian Library), and Cornell.  The overall numbers show a steady decline in the quantity of firm orders for Columbia and Cornell, while Starr's productivity numbers have stayed relatively the same over the same span of time.  Cornell's numbers with CJKT are higher than Columbia's without CJKT.  However, Columbia's productivity numbers combined with Starr's CJKT numbers are higher overall than Cornell's. 


Recommendations regarding a work plan and critical issues to explore in Phase 2 of the group's assignment.

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