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  • × theme_ss:"Metadaten"
  • × theme_ss:"Verbale Doksprachen im Online-Retrieval"
  1. Lorenzo, L.; Mak, L.; Smeltekop, N.: FAST Headings in MODS : Michigan State University libraries digital repository case study (2023) 0.03
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    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.
    Footnote
    Beitrag in Themenheft: Implementation of Faceted Vocabularies.
    Theme
    Verbale Doksprachen im Online-Retrieval
  2. Ashton, J.; Kent, C.: New approaches to subject indexing at the British Library (2017) 0.01
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    Abstract
    The constantly changing metadata landscape means that libraries need to re-think their approach to standards and subject analysis, to enable the discovery of vast areas of both print and digital content. This article presents a case study from the British Library that assesses the feasibility of adopting FAST (Faceted Application of Subject Terminology) to selectively extend the scope of subject indexing of current and legacy content, or implement FAST as a replacement for all LCSH in current cataloging workflows.
    Theme
    Verbale Doksprachen im Online-Retrieval
  3. Qualität in der Inhaltserschließung (2021) 0.00
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    Theme
    Verbale Doksprachen im Online-Retrieval
    Klassifikationssysteme im Online-Retrieval