Data management plan for the grant, "Connecting Communities with Libraries, Archives, and Historians Through Oral Histories." The University of North Texas (UNT) Department of Information Science, partnering with the UNT Oral History Program, will host a series of forums to identify best practices and strategies to respond to challenges around building, implementing, preserving, and accessing community oral history projects. The project team will convene librarians, archivists, oral history practitioners, public historians, community-based memory workers, and others working in oral history to identify good practices, share challenges and lessons learned, and prepare an actionable roadmap for building, implementing, preserving, and sustaining community oral history projects.

This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.

This article is an exploratory study providing empirical data on language archive user needs and supports some anecdotal evidence of known issues facing language archive end-users, depositors, and managers in primarily academic contexts.

Article analyzing the 2020 Texas Public Library Statistics and a portion of the 2019 and 2018 data. It examined various services from libraries located in the areas with a population of less than 5,000. This is the Accepted Manuscript version of a published article.

This article offers a theory of public knowledge for the purposes of defining more clearly its role in information systems and classification schemas.

This article is a study investigating fake news included in political discourse of opposing activism hashtags, #Gunreformnow and #NRA (The National Rifle Association) and aims to lay out the process of identifying fake news in the hashtag activism network on Twitter.

Paper presented at the 2019 ASEE Annual Conference & Exposition. The research presented studies achievement scores and affinity towards STEM scores of male and female students after participating in a unit focused on understanding a solenoid.

Article proposing a computational method to quantify and dissect visual reasoning. The method characterizes spatial and temporal features and identifies common and contrast visual reasoning patterns to extract significant gaze activities. The visual reasoning patterns are explainable and can be compared among different groups to discover strategy differences. Empirical observations show that the method can capture the temporal and spatial features of human visual attention and distinguish expertise level. By revealing task-related reasoning processes, this method demonstrates potential for explaining human visual understanding.

This article presents a systematic literature review of papers published from 1960 to 2019 that illustrate hybrid simulation can be as effective as high fidelity simulators in certain training scenarios while at the same time providing a superior training context to enhance learners patient to care-giver interactions and to better immerse the trainee in the feelings and emotion of the scenario.

This article proposes a method to model evacuation flows and reveal the patterns of evacuation flows at different spatial scales. First, the authors present a method to characterize evacuation flows at different geographic scales: the state level, considering evacuation flows across southern states affected by Irma; the urban/rural area level, and the county level. Then they demonstrate results on the predictability of evacuation flows in the most affected state, Florida, by using the following environmental factors: the destructive force of the hurricane, the socioeconomic context, and the evacuation policy issued for counties. The results presented in this paper can help decision makers to better understand population evacuation behaviors given certain environmental features, which in turn will aid in the design of efficient and informed preparedness and response strategies.

This article investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak.

Article uses 4E cognition as a framework to explore creativity in extreme environments. The article examines space arts as a case study through the history, present practices, and future possible arts in the context of humans beyond the Kármán boundary of the Earth’s atmosphere. This article is part of the research topic Creative Performance in Extreme Human Environments: Astronauts and Space

This article proposes monsters are documents and examines the coding and decoding of monster documents through a functional ontology lens. This article was presented at the 2020 Annual Meeting of the Document Academy.

Article is a study using cross-sectional methodology to investigate information sources and knowledge concerning the ZIKV virus among 300 under-served pregnant Latinas recruited from prenatal care clinics in the North Texas region. Bivariate and multiple logistic regression models are used to investigate associations between the primary outcomes and patient characteristics.

This article presents findings from a series of related studies exploring aspects of Digital Humanities teaching, education, and research in iSchools, often in collaboration with other units and disciplines. Results provide a snapshot of the current state of digital humanities in iSchools which may usefully inform the design and evolution of new DH programs, degrees, and related initiatives.

This article presents a novel approach of introducing a weighted temporal feature to bias a topic clustering toward articles in a similar time frame, performed over a set of finance journal abstracts from 1974 to 2020 to demonstrate how time can be emphasized in trend detection. The authors detect trending finance topics that are not identifiable when we use a standard clustering approach with no temporal bias.

This article focuses on citation recommendation in the related studies section by applying the term function of a citation context, potentially improving the efficiency of writing a literature review. The citation recommendation strategy can be helpful for valuable citation discovery, semantic scientific retrieval, and automatic literature review generation.

This article is from the 26th ACM Conference on Innovation and Technology in Computer Science Education and discusses the design, effectiveness, and curricular impacts of an introductory data science course focused on practical programming skills and allowing students to concurrently complete the course in Python, R, or MATLAB. Students indicated a preference for the multi-language course design and the course became the recommended first programming course for a newly developed and approved undergraduate data science majors.

Conference proceedings of 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. It includes 14 peer-reviewed papers that were presented at the workshop and an introduction from the workshop organizers.

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.

Article reviewing one particular challenge to data management relevant to South Asia, which is the complexity of names (of individuals, groups, and languages). 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.

Article describing a pilot project undertaken at the Computational Resource for South Asian Languages (CoRSAL) which explores a collaborative archiving approach to enable language community members to tell their own stories by adding contextual information to archival materials. 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.

Article on the development of a workflow process that can accommodate the range of different language depositors in the Computational Resource for South Asian Languages (CoRSAL). 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.

This article analyzes the Association of Academic Health Sciences Libraries (AAHSL) member libraries’ COVID-19 LibGuides to determine volume and origin of links included. This is a manuscript version of the article. The article was published online November 17, 2022.