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Automating Controlled Subjects from IR Keywords

Title: Automating Controlled Subjects from IR Keywords.
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Name(s): Miguez, Matthew, author
Type of Resource: text
Genre: text
Date Issued: 2017-01-24
Physical Form: computer
Physical Form: online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: When moving from a proprietary and hosted IR solution to a local and open one, an intense migration schedule necessitated some time saving measures and ETD and faculty publications were moved with only submitter-assigned keywords. After seeing the reduction of controlled subject access points, FSU’s Digital Library Center developed a python script using direct matches between the submitted keywords and subject headings in LC’s linked data service to add subject elements to MODS records. Safely in post-migration, FSU Libraries can retroactively and automatically provide controlled subject access and linked data URIs to IR materials and integrate the script into the submission workflow for improved access to future materials.
Identifier: FSU_libsubv1_scholarship_submission_1485289740 (IID)
Keywords: Metadata, data automation, subject access, ETDs, Institutional repositories
Publication Note: Presentation slides were taken from a live presentation at Mashcat 2017: http://www.mashcat.info/2017-event/
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_libsubv1_scholarship_submission_1485289740
Owner Institution: FSU