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FAST Headings in MODS: Michigan State University Libraries Digital Repository Case Study
Cataloging & Classification Quarterly Pub Date : 2023-05-19 , DOI: 10.1080/01639374.2023.2213708
Lisa Lorenzo 1 , Lucas Mak 1 , Nicole Smeltekop 1
Affiliation  

Abstract

The Michigan State University Libraries (MSUL) digital repository contains numerous collections of openly available material. Since 2016, the digital repository has been using Faceted Application of Subject Terminology (FAST) subject headings as its primary subject vocabulary in order to streamline faceting, display, and search. The MSUL FAST use case presents some challenges that are not addressed by existing MARC-focused FAST tools. This paper will outline the MSUL digital repository team’s justification for including FAST headings in the digital repository as well as workflows for adding FAST headings to Metadata Object Description Schema (MODS) metadata, their maintenance, and utilization for discovery.



中文翻译:

MODS 中的 FAST 标题:密歇根州立大学图书馆数字存储库案例研究

摘要

密歇根州立大学图书馆 (MSUL) 数字存储库包含大量公开可用的资料。自 2016 年以来,数字存储库一直使用主题术语分面应用 (FAST) 主题词作为其主要主题词汇,以简化分面、显示和搜索。MSUL FAST 用例提出了一些现有的以 MARC 为重点的 FAST 工具无法解决的挑战。本文将概述 MSUL 数字存储库团队在数字存储库中包含 FAST 标题的理由,以及将 FAST 标题添加到元数据对象描述架构 (MODS) 元数据的工作流程、其维护和发现利用。

更新日期:2023-05-19
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