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--- user_groups [2012/05/16 19:34]
loriayre
+++ user_groups [2012/05/21 16:17] (current)
loriayre
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 ===== ===== Regional Evergreen User Groups ===== =====
-**Southern Ontario Evergreen User Group**
+[[Southern_Ontario_User_Group|Southern Ontario Evergreen User Group]]
-The Southern Ontario Evergreen User Group currently has 2 meetings per year. The first meeting falls after the annual Evergreen Conference and the 2nd in November. The inaugural meeting was held at the Niagara-on-the-Lake Campus, Niagara College on May 11, 2011.
+  * User Group Launched:  May 11, 2011
+  * Libraries represented:  Niagara College, Mohawk College, Lincoln Public Library, Fort Erie Public Library, Pelham Public Library, Niagara-on-the-Lake Public Library, North Bay Public Library and a representative from Project Sitka.
+  * Meeting Schedule:  Two meetings per year.  Next one is planned for November, 2012
-Libraries represented included: Niagara College, Mohawk College, Lincoln Public Library, Fort Erie Public Library, Pelham Public Library, Niagara-on-the-Lake Public Library, North Bay Public Library and a representative from Project Sitka.
-Agenda from first meeting:
-Co-chaired by Gordana Vitez and Cynthia Williamson
-Opening remarks – Gordana Vitez
-  - Participant Introductions
-  - Possible Topics for Discussion: Sharing reports, email notification, reports in SQL, fines/overdues, cataloguing – buckets, inventory, reserves.
-  - Additional discussion topics: Documentation--Sitka, Indiana documentation, listservs for additional documentation suggestions, fines, overdues, email notices.
-As this was the first meeting of the user group, some time was devoted to the attendees and how they would like to see the meeting progress.
-Lunch
-Afternoon Breakout sessions
-  - Circulation: libraries discussed workflows for handling overdue notices, discussion on time-consuming nature of overdues.
-  - Cataloguing: libraries shared cataloguing tips and tricks.
-  - Reports: Mark Bucholtz took us through some of the Evergreen database schema, gave us some tips for finding tables and columns, and created an SQL statement to find “Claims Returned” items.