Data management plan for the grant, "Leveraging Existing Bibliographic Metadata to Improve Automatic Document Identification in Web Archives."

Data management plan for the grant, "In-Situ Monitoring for Quality Assurance and Machine Learning in Direct-Write Additive Manufacturing of 5G RF Electronic Ceramics." The principal near-term objective of the PI is to use in-situ monitoring to define the processing rules that determine the microstructure, macrostructure, and high-frequency dielectric response of electronic ceramic materials for advanced RF “grown” by laser-assisted direct-write AM. In-situ measurements will be correlated and validated with ex-situ characterization, and these data will iteratively guide synthesis and processing optimization. In parallel, the experimental measurements will be used as inputs for the physics-based process modeling. Predictions from the experimentally validated models will in turn: 1) guide synthesis and processing optimization and, 2) train and constrain ML. Thus, quality assurance is achieved.

Data management plan for the grant, "The North Texas-20". The North Texas-20 project builds upon its established work to redress unmet needs of our region, support for underserved communities, and contribute to psychology workforce diversification.

Data management plan for the grant, "Collaborative Research: MRA: Particulates in canopy flowpaths: A missing mass flux at the macrosystem scale?" This research will investigate a vital, but currently uncharacterized, macrosystem biogeochemical function within forest canopies at the very start of the terrestrial hydrologic cycle: particulate concentration, flux, and composition in rainwaters draining from forest canopies. We will address three major objectives: (1) Estimate the net rainfall (TF+ SF) water and particulate mass flux across forest types; (2) Characterize the particulate composition (C:N:P, including C components, like total C, organic C, black C, and microplastic C) of TF and SF; and (3) Identify major drivers of macrosystem variability in net rainfall particulate flux and composition.

Data management plan for the research grant, "Using uncertainty quantification and machine learning techniques to study the evolution of odor capture." This research proposes the application of uncertainty quantification (UQ) and machine learning (ML) to a CFD model of odor capture to understand the role of hair-array morphology, kinematics, and fluid environment in odor capture. The combination of CFD modeling and UQ&ML techniques can map out the performance space under which these chemosensory hair arrays operate and the relative sensitivity of each parameter of odor capture to construct a global, quantitative understanding of how parameters control odor-capture performance. Furthermore, this analysis can eliminate parameters that have no influence on odor capture, extracting the root principles of odor capture and providing a more efficient way to construct bioinspired devices for chemical detection. This work is of interest to the Army for extracting design principles that can be used for biomimetic and/or bioinspired devices for sensing hazardous chemicals in the environment (e.g. explosives).

Data management plan for the grant, "Collaborative Research: Place Attachment in Mitigation and Recovery: A Mixed Methods Study of Residential Adjustment Following Wildfires." This study focuses on understanding how place attachment influences the decisions people make after disasters, specifically residential decisions about where they live and whether they invest in measures that reduce their risk to future disasters. Using three California counties as study sites, and building on a pilot study in these same, wildfire-affected communities, the research team uses photovoice method and phenomenological analyses to develop a deep, contextually grounded understanding of the role of place attachment in residential decisions.

Data management plan for the grant "RINGS: Mobility-driven Spectrum-Agile Resilient mmWave Communication Links for Unmanned Aerial Vehicle Traffic Management in the Sky." As the unmanned aviation industry moves towards Advanced Air Mobility (AAM) services, air taxis and air ambulances are expected to become a reality in near future. Handling such a high volume of unmanned air traffic requires innovative solutions for enhanced situational awareness in the airspace. The US Federal Aviation Federal Aviation Administration envisions air tracks specifically reserved for AAM vehicles at altitudes ranging from 500 ft to 2000 ft. Air tracks cross one another at intersections and vehicles may need to share the airspace with other manned and unmanned aerial vehicles. This requires coordination among the vehicles especially during close encounters. Such a coordination requires highly reliable communication links which serve as a substitute for traffic signals on the roads. This proposal addresses this key knowledge gap by investigating strategies for establishing reliable and robust Vehicle-to-Vehicle (V2V) communication links to support AAM services. This project investigates spectrum-agile millimeter wave-based tunable beamforming strategies needed for establishing reliable and robust V2V communications links to support autonomous flight operations in air corridors along with the supporting radio frequency and mixed signal …

Data management plan for a grant seeking to analyze existing support structures for transfer students in Chemistry between the University of North Texas and Dallas College.

Data management plan for the grant, "Increasing Skills in Accessibility through Integration in the Undergraduate Computer Science and Information Technology Curricula."

Data management plan for the grant, "CAREER: Shape Memory Polymers as Biomaterial." This CAREER projectaimsto elucidate the underlying mechanism of the plasticization-induced shape memory effect of thiol-enebased polymers. The model application for this material will be a heat shrink tubing that can shrink at bodily conditions (37° C and simulated body fluids) and can be used to seal colonic anastomosis. The specific three aims are to (1) Systematically investigate the effect of crosslink-density and chain extender length on theplasticization-induced shape memory effect of thiol-enebased polymers. Mechanical and thermomechanical measurements inside simulated body fluids will be used to assess shape memory properties and structure-property relationships. (2) Understand the relationship between material thickness, degree of shape-programming, and radial recovery forces of tube-shaped SMPs to determine optimal design parameters for sufficient shape recovery using the heat shrink tube model. (3) Demonstrate the functionality of a biomedical heat shrink tube that utilizes the plasticization-induced shape recovery through an ex vivo colon anastomosis model and quantify mechanical and sealing properties.

Data management plan for the grant, "Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure." This project aims to develop a novel set of interactive training materials, including hands-on lecture modules, invited research talks from renowned researchers, and an interdisciplinary collaborative project in an intensive workshop, integrating a wide variety of advanced and inter-connected techniques employed by research workforce for deep learning (DL) systems in advanced GPU cyberinfrastructure (CI). Specifically, this project focuses on training seniors, graduate students, and researchers on how advanced GPU CI can be efficiently utilized and improved to enable high-performance DL systems for data-intensive DL applications in geoscience (GS) and computer science and engineering (CSE) research. The goal is to foster future CI users and contributors to adopt, develop, and improve advanced GPU CI for DL systems in their research.

Data management plan for the grant, "CPS: Medium: Integrating sensors, controls, and ecotoxicology with decoupled aquaponics using brackish groundwater and desalination concentrate for sustainable food production." This project aims to develop a cyber-physical system (CPS) testbed of integrated sensors, controls, machine learning, and ecotoxicology tools to engineer sustainable food production systems based on aquaculture using brackish water. The testbed includes an automated recirculating aquaculture system integrated with a real-time ecotoxicology system, implementing the system using desalination concentrate to demonstrate that brackish groundwater desalination costs can be offset by using its byproducts for profitable food production. This project will engage students of the local communities in three major ways: developing an exhibit and activity emphasizing interdisciplinary CPS research conducted during the academic year, offering summer research experiences to students from underrepresented groups, and participating in STEM outreach events targeting underrepresented groups.

Data management plan for the grant "Feasibility and initial efficacy of a wheelchair exercise-training intervention for persons with multiple sclerosis." The proposed study will examine the feasibility and initial efficacy of a stakeholder-informed, home-based, remotely supported and supervised exercise training program for wheelchair users with multiple sclerosis (MS). The proposed exercise training program was iteratively developed in partnership with community members using semi-structured interviews, a community advisory board, and focus group feedback wherein community members provided insights to develop and refine an exercise training program that suit the needs and preferences of wheelchair users with MS. Ultimately, the proposed study extends this line of research and may initiate a significant paradigm shift in rehabilitation research and practice by providing a critically needed home-based exercise training program for enhancing health, quality of life, participation, and independence of wheelchair user with MS.

Data management plan for the grant, "Demonstrating Your Data: An Evidence-based Practice Curriculum for School Librarians."

Data management plan for the grant, "Records of Refuge: Supporting Refugee Communities' Archival Needs."

Data management plan for the grant, "Community Memory and Language Archiving & Curation Training."

Data management plan for the grant, "Collaborative Research: Increasing Inclusion and Equity of Minoritized STEM Faculty: Examining the Role of Epistemic Exclusion in Scholar(ly) Evaluation Practices."

Data management plan for the grant, "Research: The Formation of Engineers in the Research Lab: A Cognitive Ethnographic Study."

Data management plan for the grant, "Mechanoregulators of Nanoparticle-Cell Interactions at Tissue Interfaces."

Data management plan for the grant, "Quantitative PCR Primer Development for Early Detection of Invasive Species."

Data management plan for the grant, "A Laser Microdissection System to Enhance Agricultural and Food Research in the North Texas and Southern Oklahoma Region."

Data management plan for the grant, "Health Careers Opportunity Program."

Data management plan for the grant, "Lone Star Ink: Texas NDNP 2023."

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 major regions of the state, including most major population areas; and have a broad chronological span. Additionally, titles selected during this project will focus on non-English newspapers important to the history of Texas which, for several reasons, have been overlooked and are underrepresented in national digital newspaper holdings. Pulling on the strengths and knowledge gained in previous years as an awardee, the UNT Libraries recognize the challenges involved in an undertaking of this scope and possesses the knowledge and management skills to achieve success.