Metadata versus Full-Text: Tracking Users’ Electronic Theses and Dissertations (ETDs) Seeking Behavior

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Presentation for the 2018 iConference. This presentation provides data from a recent research project at the University of North Texas (UNT) Libraries to better understand how users are discovering electronic theses and dissertations (ETDs) in the UNT Libraries.

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30 p.

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Alemneh, Daniel Gelaw & Phillips, Mark Edward March 26, 2018.

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This presentation is part of the collection entitled: UNT Scholarly Works and was provided by the UNT Libraries Digital Projects Unit to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 381 times. More information about this presentation can be viewed below.

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Presentation for the 2018 iConference. This presentation provides data from a recent research project at the University of North Texas (UNT) Libraries to better understand how users are discovering electronic theses and dissertations (ETDs) in the UNT Libraries.

Physical Description

30 p.

Notes

Abstract: This presentation provides data from a recent research project at the University of North Texas (UNT) Libraries to better understand how users are discovering electronic theses and dissertations (ETDs) in the UNT Libraries. The data was obtained from server log-that contained more than 178 million lines of requests to extract the specific requests for ETDs in the UNT Digital Library. From these requests, the search query was executed in an ambiguous way (not specific fielded searches) queries 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 re-sulting data helps us understand how our users are arriving at a given ETD in the collection. Among other speculations, the role of metadata for the discovery process, and the possible overlap that is present between metadata and the full-text of the ETD itself will be analyzed and discussed.

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  • iConference 2018, March 25-28, 2018. Sheffield, UK

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  • March 26, 2018

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  • May 1, 2018, 12:41 a.m.

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  • Nov. 10, 2023, 12:55 p.m.

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Alemneh, Daniel Gelaw & Phillips, Mark Edward. Metadata versus Full-Text: Tracking Users’ Electronic Theses and Dissertations (ETDs) Seeking Behavior, presentation, March 26, 2018; (https://digital.library.unt.edu/ark:/67531/metadc1132756/: accessed December 4, 2023), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Digital Projects Unit.

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