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TRAIL Microcard Update

Description: Presentation discussing the status of the TRAIL Microcard Scanning Project at the University of North Texas. This presentation was given at the Technical Report Archive and Image Library (TRAIL) annual meeting on May 25, 2022.
Date: May 25, 2022
Creator: Phillips, Mark Edward
Partner: UNT Libraries

Trusted Digital Repository Self-Audit: Lessons Learned

Description: This presentation gives an overview of the University of North Texas Libraries digital repository self-audit according to the Trusted Repositories Audit & Certification: Criteria and Checklist (2014). It was given at the Designing Storage Architectures for Digital Collections virtual meeting hosted by the Library of Congress on March 14, 2022.
Date: March 14, 2022
Creator: Phillips, Mark Edward
Partner: UNT Libraries

Leveraging Digital Library Infrastructure to Build a Language Archive

Description: Presentation describing the ongoing CoRSAL (Computational Resource for South Asian Languages) project, including background on the UNT Digital Library infrastructure and metadata schema, specific fields that have presented issues or areas of discussion for language data records (language, creator/contributor, and relation), and final conclusions about the collaboration so far.
Date: September 30, 2021
Creator: Phillips, Mark Edward & Tarver, Hannah
Partner: UNT Libraries

Investigations Into Using Machine Learning Models to Automate the Sorting of Digitized Texas State Publications.

Description: This poster highlighting the development of machine learning model to automate part of the process of digitizing and archiving documents from the Texas State Depository Program. This particular part of the process is the sorting of documents to facilitate metadata creation. It was presented at the 2023 Texas Conference on Digital Libraries (TCDL) held May 16-18, 2023 in Austin, Texas.
Date: May 16, 2023
Creator: Rikka, Praneeth & Phillips, Mark Edward
Partner: UNT Libraries

The Texas Digital Newspaper Program: Reading Through the Eyes of Time

Description: Presentation introducing the Texas Digital Newspaper Program (TDNP) on The Portal to Texas History. It provides examples on different ways to explore the collection and includes other, similar resources that might be of interest. It was presented at the RootsTech 2021 virtual conference.
Date: February 26, 2021
Creator: Krahmer, Ana & Phillips, Mark Edward
Partner: UNT Libraries
open access

Lone Star Ink: Texas NDNP 2021

Description: Data management plan for the grant "Texas Digital Newspaper Project." This project includes the digitization of 100,000 pages of Texas newspapers dating from 1836 to 1922, as part of the state's participation in the National Digital Newspaper Program (NDNP). The University of North Texas plans to digitize and make available to Chronicling America 100,000 pages of historic Texas newspapers. The selected titles will reflect the political and economic history of the state; provide coverage for maj… more
Date: 2016-09-01/2023-08-31
Creator: Phillips, Mark Edward & Krahmer, Ana
Partner: UNT Libraries
open access

Using Metadata Record Graphs to understand controlled vocabulary and keyword usage for subject representation in the UNT theses and dissertations collection

Description: 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 collecti… more
Date: December 2019
Creator: Phillips, Mark Edward; Tarver, Hannah & Zavalina, Oksana
Partner: UNT Libraries
open access

Dynamic Classification in Web Archiving Collections

Description: Article explores dynamic fusion models to find, on the fly, the model or combination of models that performs best on a variety of document types. The experimental results show that the approach that fuses different models outperforms individual models and other ensemble methods on three datasets.
Date: May 2020
Creator: Phillips, Mark Edward; Patel, Krutarth & Caragea, Cornelia
Partner: UNT Libraries
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