2019 LD4 Conference: Cataloger Perspective: Tools and Training. Thompson; Khan; Washburn; Camden
Channel: LD4
Date: 2019-06-11

LD4 Conference on Linked Data in Libraries, Boston, Massachusetts May 11, 2019
https://wiki.duraspace.org/x/6IZ7Bg
Cataloger Perspective: Tools and Training
Slides: https://drive.google.com/open?id=1ulSiU_Inh2C5lznUs9waxXL6g56qnsIf
Timothy Thompson. UIs for Cataloging. 
Although most traditional MARC-based cataloging interfaces are woefully inadequate, lacking even basic validation and placing the full burden of data entry on the cataloger, they have the side effect of forcing catalogers to internalize the standards they work with and to achieve a level of mastery of the relevant content and encoding standards. What kinds of tools and interfaces are most conducive to training catalogers for mastery of linked data and semantic modeling concepts as a practical part of their daily work?
Kevin Ford. The Bibframe Editor: Origins and evolution of an RDF editor, from its earliest conception to its featured role in Bibframe at LC, and beyond. 
This presentation covers the history of the LC Bibframe Editor, such as what technological and workflow considerations were factors in its design. The presentation will end with a highlight list of user-focused features that have been added since.

Huda Khan and Astrid Usong. VitroLib and Sinopia UIs
In the LD4P/LD4L-Labs and LD4P2 grants, we explored cataloger needs to help design linked data cataloging interfaces.  In this presentation, we will review what we learned from these explorations and what further questions we can review as we develop Sinopia.

Bruce Washburn. OCLC Project Passage UI
OCLC’s Project Passage evaluated a federated instance of Wikibase as a platform for cataloging bibliographic entities.  This presentation will focus on applications and workflows that were developed during the project to help speed and improve the cataloging user experience.
Beth Picknally Camden. Training for Linked Data.
Discussion will focus on how to translate traditional cataloging experience into linked data learning, lessons learned so far (what works and what doesn't), and more. Ideas generated in the discussion could be shared wider library community to develop a new linked data training module.