Course Information
Session |
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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. |
$250.00
Dates: October 6 - November 2Credits: 1.5 CEUs or 15 PDHs
Wikidata is a collaborative linked open data repository that is free for anyone to use, edit, or copy. It acts as a central storage for structured data used by Wikimedia projects such as Wikipedia – or, to use more cataloger-focused language – it acts as a source of authority records for Wikipedia. Due to its popularity, it also serves as a de facto hub for standard identifiers, including (but by no means limited to limited to) Library of Congress Control Numbers (LCCNs), ISBNs, ORCID iDs, VIAF IDs, WorldCat Identities, and so on. This interlinking of identifiers creates a comprehensive and interconnected knowledge base than can be used to enrich library catalog data, break out of data silos, and increase overall accessibility for our users.
This course is designed specifically for library catalogers who would like to learn more about Wikidata.
In this course, you will learn:
Students should spend an average of 4 hours per week on the course. Required texts will be provided by the instructor. Students will be expected to create a free Wikidata account (if they do not already have one) as part of the course.
No previous knowledge of Wikidata is required. Librarians and metadata professionals from all types of institutions are welcome, but be aware that the course presumes some basic familiarity with MARC cataloging and authority work.
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. |
Wikidata is a collaborative linked open data repository that is free for anyone to use, edit, or copy. It acts as a central storage for structured data used by Wikimedia projects such as Wikipedia – or, to use more cataloger-focused language – it acts as a source of authority records for Wikipedia. Due to its popularity, it also serves as a de facto hub for standard identifiers, including (but by no means limited to limited to) Library of Congress Control Numbers (LCCNs), ISBNs, ORCID iDs, VIAF IDs, WorldCat Identities, and so on. This interlinking of identifiers creates a comprehensive and interconnected knowledge base than can be used to enrich library catalog data, break out of data silos, and increase overall accessibility for our users.
This course is designed specifically for library catalogers who would like to learn more about Wikidata.
In this course, you will learn:
Students should spend an average of 4 hours per week on the course. Required texts will be provided by the instructor. Students will be expected to create a free Wikidata account (if they do not already have one) as part of the course.
No previous knowledge of Wikidata is required. Librarians and metadata professionals from all types of institutions are welcome, but be aware that the course presumes some basic familiarity with MARC cataloging and authority work.
Abby Dover (she/they) is the Linked Data Librarian at Northwestern University, a position they have held since late 2022. Prior to that, Abby was Head of Cataloging at Southern Methodist University, and has over 15 years of cataloging experience. She holds a Masters of Library Science from the University of North Texas. Abby took part in the creation of the Cataloging Code of Ethics (2021) and the Queer Metadata Collective’s Best Practices for Queer Metadata (2024). She currently serves as a member of the PCC SCT Task Group on Linked Data Training and is co-coordinator of the NACO/SACO Comics and Fiction Funnel. Before entering the library world, she taught English as a Second Language in Japan and Texas, and enjoys bringing that teaching background to her present-day work in helping catalogers learn about linked data.
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