Streamlining recommend for purchase

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Presentation transcript:

Streamlining recommend for purchase 5/26/2018 Steve Mosing Rochester Public Library SteveM@RochesterPublicLibrary.org www.rochesterpubliclibrary.org/libtech2010 Streamlining recommend for purchase

Project Goals Save Staff Time Enforce Limits 5/26/2018 Project Goals Accurately Record Patron Intentions Enforce Limits Save Staff Time

Old process Patrons filled out a web form E-mail sent to selectors 5/26/2018 Old process Patrons filled out a web form E-mail sent to selectors Decide to Order, Deny or ILL the Material Staff Contacted Patron Acquisitions Contacted to Order

Old process Incomplete Information from Patrons “Patrons” Not Verified 5/26/2018 Old process Incomplete Information from Patrons Patron might not have complete information for material to be recommended. “Patrons” Not Verified Could be abused by authors Patron might leave inaccurate contact information Library Limits not Enforced Consumed More Staff Time

technology used Programmed in Coldfusion Microsoft SQL Database 5/26/2018 technology used Programmed in Coldfusion Microsoft SQL Database Incorporated API calls to Amazon.com Large database of materials Detailed information SirsiDynix Web2 API: Application Programming Interface

5/26/2018 Code Snippet

5/26/2018 Streamlined proccess Patron clicks on link from within OPAC and authenticates to ILS

5/26/2018 Streamlined process Patron enters keyword search and selects material type

5/26/2018 Streamlined process Hitlist based on Amazon.com API call

5/26/2018 Streamlined process Searches OPAC by ISBN to see if we own…

5/26/2018 Streamlined process If there is no match in our OPAC…

5/26/2018 Streamlined process Librarian Management Interface

5/26/2018 Streamlined process Pending Request

5/26/2018 Streamlined process Action view of request

5/26/2018 Streamlined process Customized rejection e-mail based on reason for denial.

5/26/2018 Streamlined process History And Reporting

outcomes Accurate Patron Recommendations Limits Can Be Enforced 5/26/2018 outcomes Accurate Patron Recommendations Limits Can Be Enforced Better Communication with the Patron Less Staff Time Involved Happier Librarians!

5/26/2018