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Explore the evolution of RedLightGreen as it re-envisions the library catalog for undergraduates, utilizing data mining, user studies, and the power of aggregation to enhance research outcomes. Join the journey towards a more intuitive and user-centric academic resource.
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RedLightGreen RLG Accelerates Undergraduate Research
Exercise in orienteering • How did we arrive? • What is it? • What have we learned? • Brief tour • Where are we going?
How did we arrive? • The RLG Union Catalog • From project to pilot • Grant from Mellon Foundation • Internal thinking, advisory group, more internal thinking • Emergence of a target audience • More funding from Mellon
RedLightGreen: what is it? • Re-envisions the library catalog as an intuitive web-based research tool tuned to undergraduates’ search behaviors which meets their information needs • Capitalizes on the “power of aggregation” • Leads undergraduates to an important research resource -- their library.
FRBR Work Expression Manifestation Item RedLightGreen “title clusters” (includes related works) editions items What have we learned? FRBR
What have we learned? Data mining • Data mining – powered by Recommind’s MindServer • Search and classification tools • Relevancy ranking • Extends users vocabulary behind the scenes
What have we learned? MARC to XML • MARC as XML in DB2 • Based on the Library of Congress XML DTD for MARC
What have we learned? User studies • Studies conducted in April and May, 2002 • Enormously useful • Some findings difficult to implement in the short term
Where are we going? • Pilot phase • August – December 2003 • Columbia University, New York University, Swarthmore College • More work with users • User panels on May 2nd to test communication modes • User studies to assess features of service
For more information… http://www.rlg.org/redlightgreen/ mgp@notes.rlg.org