*Please excuse cross-postings*

The ALCTS/LITA MARC Formats Transition Interest Group is hosting two 
presentations during its meeting at the ALA Midwinter Conference in Chicago. 
The meeting will be held on Saturday, January 31, from 3:00-4:00pm, in 
McCormick Place West, Room W187a.

The program will feature the following presentations:

Experiments in BIBFRAME: A modular approach
Nancy Fallgren, Metadata Specialist Librarian, National Library of Medicine

The National Library of Medicine has been collaborating with Library of 
Congress on BIBFRAME development and experimentation from the Early 
Experimenters to the current Implementers.  The goal of BIBFRAME is to develop 
a data sharing standard to replace MARC that is web-based, flexible, and 
extensible beyond the traditional library cataloging community (i.e., rule 
agnostic). To that end, NLM is focusing on flexibility and extensibility by 
experimenting  with a ‘modular’ approach to BIBFRAME. This modeling approach is 
comprised of a core BIBFRAME vocabulary designed to be extended with existing 
descriptive schemes already developed by the various sectors of the cultural 
heritage community.  Nancy will talk about this approach and the status of 
NLM’s experimentation.


BIBFLOW: An IMLS Project
Xiaoli Li, Co-head of Content Support Services Department, University of 
California-Davis

BIBFLOW is a two-year project of the UC Davis University Library and Zepheira, 
funded by IMLS. Its official title is “Reinventing Cataloging: Models for the 
Future of Library Operations” and we are investigating the future of library 
technical services, i.e., cataloging and related workflows, in light of modern 
technology infrastructure such as the Web and new data models and formats such 
as Resource Description and Access (RDA) and BIBFRAME, the new encoding and 
exchange format in development by the Library of Congress. Xiaoli Li will be 
provide an update on the progress of this work.


We hope to see you there!

Program Co-Chairs,
Carolyn Hansen and Victoria Mueller

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