Experimenting with BIBFRAME: Reports from Early Adopters

Webinar

About the Webinar

In May 2011, the Library of Congress officially launched a new modeling initiative, Bibliographic Framework Initiative, as a linked data alternative to MARC. The Library then announced in November 2012 the proposed model, called BIBFRAME. Since then, the library world is moving from mainly theorizing about the BIBFRAME model to attempts to implement practical experimentation and testing. This experimentation is iterative, and continues to shape the model so that it’s stable enough and broadly acceptable enough for adoption. 

In this webinar, several institutions will share their progress in experimenting with BIBFRAME within their library system. They will discuss the existing, developing, and planned projects happening at their institutions. Challenges and opportunities in exploring and implementing BIBFRAME in their institutions will be discussed as well.

Event Sessions

Experimental Mode: The National Library of Medicine and experiences with BIBFRAME

Speaker

Nancy Fallgren

Metadata Specialist Librarian
National Library of Medicine, National Institutes of Health, US Department of Health and Human Services (DHHS)

To date, the work the National Library of Medicine (NLM) has undertaken is realm of enhancing understanding of the BIBFRAME model as produced by the Library of Congress and Zepheira and, more recently, trying to change those models. At NLM, tasks are focused on developing a workable, broadly acceptable BIBFFRAME model in an experimental mode -- not a production mode -- so that community buy-in and tool development can begin in earnest. NLM is are planning to do more practical experimentation, including generating new BIBFRAME data with tools developed by others by Spring 2015; however, any data produced is not likely to be stable or useful beyond providing sample data to support NLM's idea of what the BIBFFRAME model should be/how it should work. 

Exploring BIBFRAME at a Small Academic Library

Speaker

Jeremy Nelson

Infrastructure Software Engineer, Digital Library Systems and Services
Stanford University Libraries

This presentation traces the development path taken by the Tutt Library at Colorado College as its explores how BIBFRAME and other Linked-data vocabularies can be used in library systems to improve operations and provide superior access and discoverability of the library's collections.

Starting with early experiments modeling bibliographic entities using Google App Engine & Solr, the library moved to using Redis as a bibliographic store for FRBR and BIBFRAME entities. Limitations with Redis lead to further experimental systems with MongoDB and Solr, leading eventually to using Fedora 4 as a Linked Data Platform supported by Elastic Search, Fuseki, and Redis that is being actively developed in the upcoming BIBFRAME Catalog for the Library of Congress. The future plans for the Tutt Library is to use the BIBFRAME Catalog a foundation for a new integrated library catalog and website.

Working with BIBFRAME for discovery and production: Linked data for Libraries/Linked Data for Production

Speaker

This presentation will describe and provide updates on two collaborative and related linked open data projects Stanford is participating in—Linked Data for Libraries and Linked Data for Production. Both projects make use of BIBFRAME to explore and use linked data in the library environment.

Linked Data for Libraries (LD4L) is a collaborative project of Stanford, Cornell, and Harvard to create a semantic information store model of scholarly resources. The goal is to bring together three large pools of data—bibliographic data (transformed from MARC to BIBFRAME); person data; and various types of usage data—and link them together through an open source ontology and engineering framework, to capture the intellectual value that librarians and other domain experts and scholars add to information resources. Active since January 2014, the project is in its second year of a two year grant.

Linked Data for Production (LD4Prod) is a natural outgrowth of LD4L. The primary goal of this collaboration between 5 academic libraries (Stanford, Cornell, Columbia, Harvard, Princeton) and the Library of Congress is to actively explore metadata creation in the linked data environment using BIBFRAME, and integrating it into our technical services workflows. To that end, we will be defining specifications for tool development and infrastructure, exploring how cataloging rules mesh with BIBFRAME, and creating profiles for various subject domains.

Additional Information

  • Registration closes at 12:00 p.m. (ET) on April 8, 2015. Cancellations made by April 1, 2015 will receive a refund, less a $25 cancellation. After that date, there are no refunds.

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