ALCTS FRBR Interest Group

ALCTS FRBR IG Midwinetr 2012 Meeting Announcement

  • 1.  ALCTS FRBR IG Midwinetr 2012 Meeting Announcement

    Posted Jan 16, 2012 08:54 PM

    The ALCTS FRBR Interest Group cordially invites you to our ALA Midwinter meeting.

    Date:   Friday, January 20, 2012

    Time: 10:30 a.m.–12 p.m.

    Place:  Dallas Convention Center D168

    There is more to Functional Requirements than just FRBR. Come join us to learn more about FRAD and the other FR models from our very knowledgeable presenters, Qiang Jin and Shawne Miksa.

    First Qiang Jin will present: Demystifying FRAD: Functional Requirements for Authority Data.

    Qiang Jin is Senior Coordinating Cataloger and NACO Coordinator, Associate Professor of Library Administration at the University of Illinois at Urbana-Champaign Library. Her presentation will provide a basic explanation of the Functional Requirements for Authority Data (FRAD): A Conceptual Model. It will illustrate the Conceptual Model for Authority Data with specific examples, and explain the FRAD entities, attributes of those entities and relationships between those entities with many specific examples so that attendees will be able to understand the FRAD model. It will include some brief RDA authority records exemplifying the major FRAD relationships.

    Next we will hear from Dr. Shawne Miksa present on the FR models user tasks.

    Dr. Miksa is an Associate Professor in the Department of Library and Information Sciences and Acting Associate Director of the Interdisciplinary Information Science PhD Program in the College of Information (COI), University of North Texas. In her presentation, Dr. Miksa will list and define the twelve user tasks from all three FR Models (FRBR, FRAD, FRSAD) and present her conception of corresponding tasks that an information organizer (cataloger, metadata specialist, etc.) performs to support the user tasks. Most of these tasks are not new to the practice, and Dr. Miksa will show how they can be recast to correspond with the functionality models.