Data management plan for the grant, "CAREER: Manufacturing of Mechanically Stable Nanoporous Ceramic Structures Via Selective Infiltration of Polymer Templates." This Faculty Early Career Development (CAREER) grant from the National Science Foundation supports fundamental research to elucidate a new strategy of manufacturing nanoporous ceramic structures with controllable structure and composition and programmable mechanical stability. The specific goal of this research is to discover processing-structure-property relationships in ceramic coatings and heterostructures by providing fundamental insights on the mechanism of liquid phase swelling-based infiltration of spin-coated polymer templates with inorganic precursors and defining the rules that control the resulting structure and, thus, access to various materials surfaces and interfaces.

Data management plan for the research project "Molecular Technologies for Mitigating Fusarium Head Blight - Spherical Nucleic Acid Nanomaterials as Fungicide and FHB Resistance-promoting Agents."

Data management plan for the grant "Developing a cylindrical-type wireless high temperature pressure sensor for rocket propulsion system test."

Data management plan for the grant, "LLELA Quail Program: Quail in the Park Cities? Restoring a functional quail population to a small rangeland system in the Dallas Metroplex."

Data management plan for the grant "Optimization for Thermal Protection of Firefighter’s Glove by Phase Change Material." Research project investigating improvements to firefighers gloves thermal protection.

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 "Discovering Potential for Sense of Community, Social Support, and Wellness Impacts within Interscholastic Sports Officials." Research seeking to provide an in-depth exploratory look at the behaviors of interscholastic sport officials as they relate to motivation for initial and continued participation, barriers to participation as an interscholastic sport official, and the social, community and health impacts of participation.

Data management plan for the grant "University of North Texas HEB Talent Search." This grant serves low income students in the Hurst-Euless-Bedford School district by providing educational assistance such as tutoring, academic skill workshops, individualized mentoring, college tours, and assistance with FAFSA to help attain their educational goals.

Data management plan for the grant "Expanding A Bilingual Trauma-Based Behavioral Health Workforce in Integrated Health Settings."

Data management plan for the grant, "CAREER: Fundamental Limits of Cryptographic Primitives Through Network Information Theory." Research project studying the fundamental limits of a diverse array of cryptographic primitives through network information theory and coding tools. The project takes an information theoretic view of the investigation of the fundamental limits of cryptographic primitives. The project is expected to unveil theoretical and practical insights into cryptographic primitives, and enhance the understanding on their fundamental limits.

Data management plan for the TSLAC TexTreasures Grant for the Byrd Williams Family Photography Collection Digitization Project Phase III. This project will allow for the addition of 3,000 historical Texas images to the Portal to Texas History. The images selected for inclusion will focus on the work of Byrd Williams III and Byrd Williams IV, with an emphasis on unique and notable people and places in north Texas between the years 1930-2010.

Data Management Plan for the research project: Metal Organic Frameworks Containing Frustrated Lewis Pairs for Hydrogen Storage at Ambient Temperature. Research to design, synthesize, and characterize novel sorbent materials for hydrogen storage. The materials are based on a Metal-Organic Framework and incorporate Frustrated Lewis Pairs (FLP-MOF). The project seeks to optimize the hydrogen storage capacity of the FLP-MOF systems at ambient temperature and under high pressure.

Data management plan for the National Archives grant for Access to Historical Records: Archival Projects, "Digitize and Preserve Recordings of The Black Academy of Arts and Letters." This project will digitize 1,804 hours of audio-visual material from The Black Academy of Arts and Letters and transcribe 250 hours of speeches, lectures and literary readings drawn from African, African American and Caribbean arts and letters recorded between 1977 and 2013.

Data management plan for the grant, "Fatty Acid Amide Hydrolases and Chemical Communication in Plants." Research seeking to understand how an evolutionarily-conserved group of plant enzymes utilizes chemical signals to regulate growth and to influence their microbial environment. Specific research aims include the discovery of new enzymes and their substrate molecules that act as communication signals. Broader applications of this research may offer new strategies to enhance agricultural outputs by manipulating plant-microbe interactions in crop and soil systems.

Data management plan for the grant, "Encapsulated perovskite in NiO nanotube for topological meta-photonic devices." Research studying meta-photonic devices with high absorption and topological photonic devices using encapsulated perovskites in NiO nanotubes. The goal is to achieve high-efficiency solar cells and electrically pumped laser in perovskite/NiO nanotubes patterned in the graded photonic super-crystal. The success of this project will lead to high-efficiency integrated lasers and solar cell devices. It also enhances the abilities in the education arena by enriching program offerings in nanotechnology, clean-energy, and photonics technology.

Data management plan for the grant, "Collaborative Research: A Systematic and Comprehensive Study of Black Hole-Driven Turbulence in Massive Galactic Systems." This research team has developed a technique to measure gas turbulence in systems hosting giant central black holes and will directly evaluate the viability of this mechanism using a large sample of galaxies. This project will deliver a more complete view of the “feedback” provided by accreting SMBHs, leading to a better understanding of the black hole-host galaxy relation. More specifically, it will directly probe the energetics of the intra-cluster, circum-galactic, and interstellar media of massive early-type galaxies.

Data management plan for the grant, "Collaborative Research: Diversifying Human-Centered Data Science through the Research and Design of Ethical Games." This project studies collaborative learning in a virtual setting for groups of peers with conflicting methodological cultures and diverse backgrounds. An additional artifact of this two-year, interdisciplinary project will be a prototype of an educational game, targeted towards the underrepresented communities and the greater public, that will bring more people into critical conversations about the roles of AI and data science in our society. The primary aim of this research is the production of novel theories in learning sciences regarding collaborative learning in the face of diverse backgrounds and cultural norms.

Data management plan for the grant "Making Audio/Visual Digital Collections Content Accessible for All Texans." Project to improve audio/visual (A/V) content accessibility available through The Portal to Texas History at the University of North Texas Libraries. The project addresses the needs of Deaf and Blind users who often lack fundamental access for many A/V materials in digital repositories while also providing benefit to abled users and those with other special needs through efforts to transcribe, translate, describe, interpret, and chapter both research-oriented and primary-source A/V content.

Data management plan for the grant, "Improving Student Learning While Decreasing Bias in Teaching Through Simulation." Research on the simEquity project which will implement a scalable model for developing equitable, culturally responsive teaching practices through simSchool, a simulated teaching environment. The project will identify best practices to help teachers recognize and mitigate implicit biases that often impact student success. The project team will iteratively develop and test a Teaching without Bias curriculum and an AI-driven set of bias reduction tools that can be added to existing simulation instruction modules.

Data management plan for the grant "Modulating 3D Cellular Connectivity Via Spatially-Controlled Programmable Bonding." This project seeks to demonstrate proof-of-concept for technology that allows one to systematically place cells on substrates to create complex 3D assemblies with precise control over individual cellular interactions. The technology generated within this proposal will open new avenues for studying multicellular communication pathways, stem cell differentiation, and understanding developmental processes. Spatially-defined cell-cell communication plays a critical role in numerous disease and developmental processes that include osteoarthritic degeneration, cancer metastasis, and organ regeneration.

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 "Collaborative Research: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data,Interaction,Visualization, and softwarE(MLN-DIVE)." Research relating to creating a community infrastructure for researchers using multilayer networks (MLN). This project uses a formally established network decoupling approach to perform various aggregate analysis (community, centrality, substructure detection, etc.) using individual layers and composing them. The broader impact of this planning project is to provide meaningful and appropriate analysis tools that are grounded in theory to a broad range of applications from different domains. The focus is on facilitating the mainstream use of multilayer network analysis in data analysis, research and teaching.

Data management plan for the grant, "Collaborative Research: SaTC: CORE: Small: Privacy protection of Vehicles location in Spatial Crowdsourcing under realistic adversarial models." Research to develop new location privacy protection techniques by considering vehicles’ mobility features in the road network, and consequently lead to a more secure and trustworthy computing environment in location-based services (LBSs). As privacy concerns are still among the main obstacles for mobile users to participate in many advanced LBSs, this project is poised to contribute to the wider adoption of LBSs for many applications (e.g. navigation systems and location-based recommendation systems). The project will also provide a set of diverse and interesting topics for undergraduate and graduate students and outreach activities for the community.

Data management plan for the grant "The Influence of Aortic Valve Hemodynamics and LVAD on bio-transport processes in Calcific Aortic Valve Disease." One of the most common valvular heart diseases is the development of calcific aortic valve (CAV). The goal of this research is to understand the transport and near-wall accumulation of Low-Density Lipoprotein (LDL), which play a key role in the CAV development, with and without altered transvalvular pressure gradient due to LVADs. This will be achieved by developing the first computational model of biochemical transport near the highly deforming aortic valve, in which the hemodynamics and LDL mass transport are coupled with the biomechanical response of the valve, using a FSI framework formed around an innovative supreme immersed boundary (SIB) method.