Poster discussing practical methods for ensuring the quality of descriptive metadata associated with linguistic datasets in language archive deposits. Digital language archives are valuable tools for facilitating language revitalization, providing data on lesser-known languages, and supporting reproducibility of research and development of linguistic theory, though their potential remains unrealized as the data available in language archives are rarely accessed by linguists or language communities. Reasons for this under-utilization are the issues with data standardization and metadata quality. Including basic grammatical and typological information would allow wider audiences to reach the material.

Grant narrative for the grant, "Students Data Literacy Needs in Community Colleges: Perspectives of Libraries, Students and Faculty." The University of North Texas will conduct an 18-month planning project to examine the current perspectives of community college librarians, faculty, and students regarding data literacy; identify the data literacy competencies needed for community college students; and develop data literacy action plans for community college libraries to assist community college librarians in assessing their capability and creating a road map to incorporate data literacy into their existing literacy programs. The findings of this project will identify the role and position of community college libraries in facilitating and enhancing the development of the data literacy competencies of students.

Data management plan for the grant, "Students Data Literacy Needs in Community Colleges: Perspectives of Libraries, Students and Faculty." The University of North Texas will conduct an 18-month planning project to examine the current perspectives of community college librarians, faculty, and students regarding data literacy; identify the data literacy competencies needed for community college students; and develop data literacy action plans for community college libraries to assist community college librarians in assessing their capability and creating a road map to incorporate data literacy into their existing literacy programs. The findings of this project will identify the role and position of community college libraries in facilitating and enhancing the development of the data literacy competencies of students.

Article discusses how, during the COVID-19 pandemic, US public health authorities and county, state, and federal governments recommended or ordered certain preventative practices, such as wearing masks, to reduce the spread of the disease. The purpose of this study was to understand the variations in public sentiment toward COVID-19 and the recommended or ordered preventive practices from the temporal and spatial perspectives, as well as how the variations in public sentiment are related to geographical and socioeconomic factors.

Authors of the article suggest that the novelty of Intentional Model of Pedagogical Process Guidance (IMPPG) is the effectiveness use of Cognitive Trait Model to be aware of different traits of learner. This model has been experimented and assessed with tutors and students learning spreadsheet management in a first-year studying in applied license’s degree in Business English and applied license’s degree in Education.

Poster focuses on developing a conceptual framework to understand data literacy needs in community colleges. The authors propose a framework for studying data literacy by conceptualizing data literacy and explicating the core content and competencies associated with it. It was presented at the 2023 Association of College and Research Libraries (ACRL) conference held in Pittsburgh, Pennsylvania. This work is part of an Institute of Museum and Library Services (IMLS) grant.

Article presenting two methods for connecting aggregated records to their source institutional metadata profiles. The use case of the Open Language Archives Community (OLAC) application profile is considered and evaluated. It was presented at the 2nd International Workshop on Digital Language Archives held on June 30, 2023 as part of the ACM/IEEE Joint Conference on Digital Libraries 2023.

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.

Video recording of the first webinar from the Oral History Forum. The theme of the webinar explores how community identity, history, activism, and experiences are represented through oral history.

Video recording of the second webinar from the Oral History Forum. The theme of the webinar explores the relevant issues and concerns regarding creating and generating oral histories in a time of social and technological change.

Video recording of the third webinar from the Oral History Forum. The theme of the webinar explore best practices and considerations for ethically informed preservation and archiving of oral history.

Video recording of the fourth webinar from the Oral History Forum. The theme of the last webinar of the series explores innovative uses of oral history collections and pushes for equitable access to oral history collections.