Understanding User Discovery of ETD: Metadata or Full-Text, How Did They Get There? Metadata
Metadata describes a digital item, providing (if known) such information as creator, publisher, contents, size, relationship to other resources, and more. Metadata may also contain "preservation" components that help us to maintain the integrity of digital files over time.
- Main Title Understanding User Discovery of ETD: Metadata or Full-Text, How Did They Get There?
Author: Alemneh, Daniel GelawCreator Type: PersonalCreator Info: University of North Texas
Organizer of meeting: US Electronic Thesis and Dissertation AssociationContributor Type: Organization
Author: Phillips, Mark EdwardContributor Type: PersonalContributor Info: University of North Texas
Author: Waugh, LauraContributor Type: PersonalContributor Info: University of North Texas
Author: Tarver, HannahContributor Type: PersonalContributor Info: University of North Texas
- Creation: 2015-09-30
- Content Description: Presentation for the 2015 US Electronic Thesis and Dissertation Association (USETDA) Annual Conference. This presentation discusses understanding user discovery of electronic theses and dissertations (ETDs) and whether uses make use of metadata records when searching or full text searching.
- Physical Description: 26 p.
- Keyword: electronic theses and dissertations
- Keyword: ETDs
- Keyword: metadata
- Keyword: subject
- Keyword: discovery
- Keyword: access
- Conference: US Electronic Thesis and Dissertation Association (USETDA) Annual Conference, 2015, Austin, Texas, United States
Name: UNT Scholarly WorksCode: UNTSW
Name: UNT LibrariesCode: UNT
- Rights Access: public
- Archival Resource Key: ark:/67531/metadc725793
- Academic Department: Digital Projects Unit
- Display Note: Abstract: This presentation presents data from a recent research project at the UNT Libraries to better understand how users are discovering the Theses and Dissertations in the UNT Libraries. The authors of this presentation worked with server log-files from eight months of 2014 which contained over 178 million lines of requests to extract all item requests for ETDs in the UNT Digital Library. From these requests, items were the search query was executed in an ambiguous way (not specific fielded searches) were extracted to create a dataset of item-query pairs. These item-query pairs were presented to the Solr full-text indexer that powers the search and retrieval side of the UNT Digital Library to report back on statistics and help to explain whether a specific query was satisfied by either the ETDs full-text, metadata, or by both fields. The authors then aggregated this data to create a large dataset that was analyzed for this paper. The resulting data helps us understand how our users are arriving at a given ETD in the collection, the importance of metadata for the discovery process, and finally the overlap that is present between metadata and the full-text of the ETD itself.