Course Information
| Session |
|---|
| Credits | 1.5 CEUs or 15 PDHs |
|---|---|
| Registration dates | We accept registrations through the first week of classes, unless enrollment is full, and unless the class was canceled before it started due to low enrollment. |
Going Beyond MARC: Semantic Frameworks & Data Models
$250.00
Credits: 1.5 CEUs or 15 PDHs
This course examines the evolution of library data beyond the MARC format, tracing a path from the legacy of the card catalog through modern semantic frameworks and knowledge graph technologies. Students will explore why MARC has defined library data for decades, how it is being transformed and extended through formats like MARCXML, and where the field is heading as linked data and BIBFRAME reshape bibliographic description. The course culminates in an exploration of knowledge graphs and emerging data models that are redefining how library and cultural heritage data connects with the broader web of information.
Students will develop a critical understanding of MARC's history and limitations, gain practical familiarity with transformation and conversion workflows, and build a conceptual foundation for working with semantic web technologies and modern data models in library and metadata contexts.
Course Objectives and Goals
By the end of the course students will:
- Understand the origins, structure, and ongoing role of MARC within the broader history of library cataloging
- Explore MARCXML and tools and approaches for transforming and converting MARC data
- Examine the BIBFRAME model and its relationship to semantic web principles and linked data
- Survey knowledge graphs and emerging data models shaping the future of library and cultural heritage metadata
Course Description
This course examines the evolution of library data beyond the MARC format, tracing a path from the legacy of the card catalog through modern semantic frameworks and knowledge graph technologies. Students will explore why MARC has defined library data for decades, how it is being transformed and extended through formats like MARCXML, and where the field is heading as linked data and BIBFRAME reshape bibliographic description. The course culminates in an exploration of knowledge graphs and emerging data models that are redefining how library and cultural heritage data connects with the broader web of information.
Students will develop a critical understanding of MARC's history and limitations, gain practical familiarity with transformation and conversion workflows, and build a conceptual foundation for working with semantic web technologies and modern data models in library and metadata contexts.
Course Objectives and Goals
By the end of the course students will:
- Understand the origins, structure, and ongoing role of MARC within the broader history of library cataloging
- Explore MARCXML and tools and approaches for transforming and converting MARC data
- Examine the BIBFRAME model and its relationship to semantic web principles and linked data
- Survey knowledge graphs and emerging data models shaping the future of library and cultural heritage metadata
Robin Fay
Robin Fay is an experienced Cataloging and Metadata Librarian, trainer, and author working where metadata, cataloging, systems, and AI intersect. She has led cataloging, migration, and data quality projects across the GLAM landscape — federal agencies, multistate academic consortia including the Orbis Cascade Alliance and the University System of Georgia, and academic, community college, public library, and museum collections. Her practice spans MARC to BIBFRAME, system migrations, authority and entity management, controlled vocabularies, and linked data, including where AI tools help in metadata work and how to build human-AI collaborations for our work. She is the author of Semantic Web Technologies and Social Searching for Librarians and actively writes at linkedin and elsewhere. A frequent guest on WREK's Lost in the Stacks, she discusses metadata and semantic web topics through the lens of practical application. Connect with Robin via her linktr.ee/robinfay or at robinfay.net
How to Register
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