Article introduces the collaboration between the Computational Resource for South Asian Languages (CoRSAL) group and the University of North Texas (UNT) Digital Library to build a series of interconnected digital collections for various language communities. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Presentation for the 22nd International Symposium on Electronic Theses and Dissertations (ETD 2019), discussing the use of network analysis to evaluate subjects in the University of North Texas (UNT) Libraries' ETD collection.

This paper analyzes the relationship between subject terms -- both authorized terms from controlled vocabularies and free-text keywords -- used to succinctly describe the content of the electronic theses and dissertations (ETDs) and the search terms entered by users to discover and access the ETDs. Identification of search terms and comparison of search results with subject terms used in describing ETDs provides a basis for assessing the relative usefulness of controlled-vocabulary subject terms supplied by professional indexers and free-text keywords supplied by authors of ETDs in facilitating access to ETDs. Arguably, there has been a shift in the way users search, access, and use information resources.

This presentation presents results of a study that analyzed representation of dates and time in one of the largest aggregators of digital content in the world -- the Digital Public Library of America (DPLA). The findings demonstrate both similarities and differences in date and time representation across DPLA content hub and service hub provider groups.

This paper presents results of a study that analyzed representation of dates and time in one of the largest aggregators of digital content in the world -- the Digital Public Library of America (DPLA). The findings demonstrate both similarities and differences in date and time representation across DPLA content hub and service hub provider groups.

This article discusses the use of network analysis through the creation Metadata Record Graphs to analyze the interconnectedness of subject and keywords in the University of North Texas Theses and Dissertations collection. The analysis compares overlap of controlled terms (Library of Congress Subject Headings) and uncontrolled terms (keywords), as well as the effects of basic format normalization (to simulate editing values for consistency) to evaluate how well subjects connect in the collection.