Data management plan for the grant "Collaborative Research: Microneedle‐mediated Adaptive Phototherapy (MAP) for Wound Healing."

Data management plan for the grant "School Mental Health Advocates for Students and Educators (SMHASE)."

Data management plan for the grant, "Small RNA interactions with transgenes in genetically modified mosquito lines."

Data management plan for the grant, "Binders Volumes Research Initiative."

Data management plan for the grant, "The Renin-Angiotensin System in Air Pollution-Mediated Exacerbation of Obesity."

Data management plan for the grant, "SaTC: CORE: Small: Customizable Geo-Obfuscation to Protect Users' Location Privacy in Mobile Crowdsourcing."

Data management plan for the grant, "Targeted Systemic Delivery of SDF-1 DNA for the Treatment of Chronic Heart Disease."

Data management plan for the grant, "NSF-BSF: Mechanism of Cuticle Remodeling by Hypoxia."

Data management plan for the grant, "Electron Irradiation of Graphene in Air at Atmospheric Pressure: a Method for Hydrogenating Graphene for Hydrogen Storage Applications."

Data management plan for the grant, "Capacity Building: Creating and Sustaining a Pathway for Engineering Majors to Become STEM Teachers." The project aims to serve a national need for building pathways for engineering students to become grade 6-12 STEM teachers in high-need schools. The project will develop a framework for recruitment, retention, and reshaping of graduate teacher certification specifically for engineering students to become STEM teachers. The effort is a collaboration between the College of Engineering and the College of Education at the University of North Texas, a Hispanic Serving Institution.

Data management plan for the research grant, "Collaborative Research: Using Uncertainty Quantification and Validated Computational Models to Analyze Pumping Performance of Valveless, Tubular Hearts." This project will develop a computational model of the essential features of the circulatory system: the electrical activity of the heart, muscle contractions of the tube walls, and the fluid-structure interactions of the heart walls and blood within. This computational framework aims to be faithful to that of a real, model animal (tunicate, or sea squirt). The model will then be analyzed with mathematical tools to determine the physical limits of the pumping system. Results of this project will improve the understanding of human heart development at the earliest stages. Also, it will point to how the large, multi-chambered hearts of vertebrates could have evolved from smaller structures.

Data management plan for the grant "Elucidating Cyclic Fatty Acid Biosynthesis and Compartmentalization to Improve Cottonseed Value." Cotton is an important oilseed crop in the U.S. economy. Cotton seed and other vegetative tissues produce unusual chemicals called cyclic fatty acids that have wide-ranging potential uses from high-value industrial properties to nutrition-oriented uses. This project focuses on identifying genes that contribute to the production and storage of these high value bioproducts.

Data management plan for the grant "Collaborative Research: Smart Stent for Post-Endovascular Aneurysm Repair." The overall objective of this proposal is to develop a Smart Stent for post-endovascular aneurysm repair (EVAR) surveillance that combines a flexible, hybrid, seamless, battery-less bioelectronic system with a deep-learning algorithm that offers an automated diagnosis of complications such as endoleak.

Data management plan for the grant "High-throughput Screening and Quality Assessment Testing and an AI-based In-Situ Process Monitoring and Quality Control Framework for Additive Manufacturing New Builds and Repaired Parts."

Data management plan for the grant "Collaborative Research: CISE-MSI: RCBP-RF: CPS, CNS: Emergency Response and Evacuation Training for Active Shooter Events."

Data management plan for the grant, "Collaborative Research: Combined Tribological and Bactericidal Effect of Bioinjectable Nanodiamonds on Biological Joints."

Data management plan for the grant, "FW-HTF-P: Immersive Virtual Reality Instructional Modules for Response to Active Shooter Events."

Data management plan for the grant, "NSF Engines Development Award: Advancing logistics technologies (TX, OK)."

Data management plan for the grant "Nuclear Safety Testing and Analysis Research (NSTAR) Fellowship Program at the University of North Texas." The proposed NSTAR fellowship program at UNT aims to reinforce the workforce in the nuclear energy safety community by engaging the selected fellowship students (fellows) with interdisciplinary education and research. The overarching theme and research focus of the proposed NSTAR program is acoustics-based non-destructive testing and analysis and nanoparticle processing for thermal management applications. An interdisciplinary research team will investigate these research areas with backgrounds in mechanical engineering, material science, and/or physics. The program will fully support two fellows over four years including full tuition and stipends.

Data management plan for the grant "Formation of cotton bast fiber as a means to modulate carbon capture and increase bio-product utilization."

Data management plan for the grant "PERFECT-Providing Environment and Resources for Stem 9th-12th Graders in Effective Cybersecurity."

Data management plan for the grant awarded to the University of North Texas Talent Search Program. UNT TRIO Talent Search is a federal grant program that assists students in enrolling in and graduating from post-secondary educational institutions. TRIO Talent Search accepts students in 6th-12th grades and provides information on careers and school success skills, SAT/ACT/TSI test prep and registration, assistance with college admissions, financial aid, and scholarship applications. Students also visit local colleges and universities. This grant includes additional funds for job shadowing and mentoring, and for summer STEM programs. The program is funded to serve 899 students at Denton High School, Gainesville High School, Gainesville Junior High School, Ryan High School, and Strickland Middle School.

Data management plan for the grant "CAREER: A Prosthetic Elbow with Network of Soft and Modular Thermo-Active Actuators for Mobility Impaired Patients." This NSF Faculty Early Career Development (CAREER) project will develop novel networks of flexible Peltier-based soft actuators designed for rehabilitation.

Data management plan for the grant, "REU Site: TaMaLe - Testing and Machine Learning for Context-Driven Systems: Research Experience for Undergraduates." TaMaLe (Testing and Machine Learning for Context-Driven Systems), a renewal Research Experience for Undergraduates (REU) Site at University of North Texas, engages 10 undergraduate students for 10 weeks with problems in the context-driven system domain. The students explore research problems to improve the reliability and security of context-driven systems. Context-driven systems, such as mobile apps, face constant streams of input from both users and context changes in their environments. Users interact with apps through touch and speech interfaces. These systems also respond to context events that occur in their environments such as changes to network connection, battery level, screen orientation, and more. The combined explosion of possible user events and context event sequences pose new challenges that require cost effective testing solutions. Students and mentors in this REU program work in small teams to develop and empirically evaluate new software testing techniques for context-driven systems using strategies such as reinforcement learning and combinatorial-based techniques.