Name: Unlocking WNYC's On the Line: Creating Cataloging Tools to Make Human Review Efficient and Intentional
Start: 2024-10-07T13:00:00-0400
End: 2024-10-07T13:45:00-0400

Monday October 7, 2024 1:00pm - 1:45pm EDT

Zoom

ZOOM PASSCODE IS: ld4-2024
Cataloging over 2,000 episodes of On the Line (1989-2002), the predecessor to The Brian Lehrer Show and a highlight in the WNYC collection, offered the opportunity to create new tools for applying linked data. The goal of creating “selector” tools was to create a central view for a variety of inputs, including an original producer database and Library of Congress authority records, each carefully selected based on collection relevance. The selector tools allow efficient and targeted human review, resulting in persistent URLs to be uploaded as XML and affixed to digitized episode audio.
This process allows for efficient cataloging while maintaining ownership over original asset metadata and newly available audio, and resulted in adding 6,000 LCNAF links, creating 3,000 internal authorities, and applying LCSH to more than 9,000 segments. The result is a case study in adding Linked Data to assets at scale, with lessons learned that will go into effect in future collections, as well as a demonstration of the importance of Linked Data to create discoverability and inspire trust through accuracy. This presentation will share the exact steps taken and tools created alongside highlights along the way, with the aim to help series cataloging to be more standardized, thorough, and streamlined.

Speakers

Marcos Sueiro Bal

Archive Manager, New York Public Radio

Our stations' are nearly a century old, so there is a wide variety of quality in both metadata and audio.My focus has been on normalization of metadata (within and across platforms), as well as data augmentation via APIs and Linked Data. For example, we are developing tools that analyze... Read More →

Martha Ball

Project Cataloger, New York Public Radio

Monday October 7, 2024 1:00pm - 1:45pm EDT
Zoom

Presentation

Attendees (180)

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LD4 2024 Conference

Marcos Sueiro Bal

Martha Ball

Attendees (180)

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