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. |
Linked Data & Libraries
$250.00
Dates: January 4 - January 31May 3 - May 30
Credits: 1.5 CEUs or 15 PDHs
This course focuses on learning how to enrich and expand library metadata and cataloging data, adding data from established authoritative sources and at-large, general web resources, following guidelines of the Programme for Cooperative Cataloging. This class will cover basic principles of RWOs (Real World Objects) and linked data through the lens of MARC and Dublin Core records. Students will become familiar with the fundamental principles of RWOs and linked data, understanding the types and formatting of data that have been identified as applicable to library data. Additionally, students will gain insights into the future of cataloging and metadata work – the intersection of library data with the larger web, interoperability, and cataloging/metadata work as preparation for the future.
Course Objectives and Goals
By the end of the course students will:
- Develop a firm understanding of the basic principles of Real World Objects (RWOs), as established by PCC.
- Understand the challenges and opportunities of expanding library metadata beyond traditional authoritative resources.
- Be able to properly format a RWO as linked data in both MARC and Dublin Core data.
- Understand the goals of RWOs and linked data in the larger landscape of library metadata, cataloging, and web work.
This is an asynchronous course with built-in course materials and a series of weekly assignments. Some course materials may be recorded. This course can be taken as one of eight courses needed to earn our Certificate in Cataloging and Technical Services, but can be taken as a stand-alone course as well.
Course Description
This course focuses on learning how to enrich and expand library metadata and cataloging data, adding data from established authoritative sources and at-large, general web resources, following guidelines of the Programme for Cooperative Cataloging. This class will cover basic principles of RWOs (Real World Objects) and linked data through the lens of MARC and Dublin Core records. Students will become familiar with the fundamental principles of RWOs and linked data, understanding the types and formatting of data that have been identified as applicable to library data. Additionally, students will gain insights into the future of cataloging and metadata work – the intersection of library data with the larger web, interoperability, and cataloging/metadata work as preparation for the future.
Course Objectives and Goals
By the end of the course students will:
- Develop a firm understanding of the basic principles of Real World Objects (RWOs), as established by PCC.
- Understand the challenges and opportunities of expanding library metadata beyond traditional authoritative resources.
- Be able to properly format a RWO as linked data in both MARC and Dublin Core data.
- Understand the goals of RWOs and linked data in the larger landscape of library metadata, cataloging, and web work.
This is an asynchronous course with built-in course materials and a series of weekly assignments. Some course materials may be recorded. This course can be taken as one of eight courses needed to earn our Certificate in Cataloging and Technical Services, but can be taken as a stand-alone course as well.
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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