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.

Data management plan for the grant, "Predicting Criminal Activities in Darknet Markets: Advancing Knowledge and Tools for Activities Monitoring."

Data management plan for the grant, "Building a Team for EXtragalactic AStrophysics (TEXAS) in the Dallas-Fort Worth Metroplex". The project will build a new partnership between the University of North Texas (UNT), an R1 Minority-Serving Institution (MSI)/ Hispanic-Serving Institution (HSI), and the University of Texas at Dallas (UTD). During the pilot phase, the team will establish a post-baccalaureate bridge program and organize monthly colloquia and annual symposia to broaden the participation of underrepresented groups in astronomy.

Data management plan for the grant, "UNT Upward Bound". The University of North Texas (UNT), located in Denton, Texas, proposes a cooperative partnership with four school districts to sponsor a five-year Upward Bound program for eligible students in four target high schools in North Texas.

Data management plan for the grant "Travel: NSF Student Travel Grant for 2023 Great Lakes Bioinformatics Conference (GLBIO)"

Data management plan for the grant "Integrating multi-omics datasets to infer phenotype-specific driver genes, regulatory interactions and drug response." Research to develop open source integrative computational tools that perform secondary analysis of publicly available multi-omics biological, clinical and environmental exposure datasets to infer context-specific regulatory interactions and modules, and to predict disease associated genes and patient-specific drug response.

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 grant "Programmatic Extraction of ‘Documents' from Web Archives." This research project seeks to evaluate the use of machine learning algorithms to successfully identify and extract publications contained in existing Web archives. Identifying these documents will empower libraries, archives, and museums to meet their curatorial missions.

Data management plan for the grant "Functional Porous Organic Polymers as Advanced Decontamination Materials for Water Purification." This project seeks to develop and deploy a new class of porous organic polymers which have high capacity and selectivity to rapidly remove heavy metal contaminants well below parts per million level standards set by the Environmental Protection Agency. The project will engineer porosity and surface chemistry of porous organic polymers to clean inorganic heavy metal contaminants from both surface water and wastewater. Porous organic polymers are robust, chemically and thermally stable, scalable, and modular, with very high surface area. The modularity of these polymers allows for a molecular-level tuning of the pore structure and surface chemistry that allows for engineered site-specificity of binding sites that target the heavy metal contaminants. Recent data shows these new materials offer a significant increase in capacity relative to benchmark materials, with a rapid removal of mercury and other heavy metal ions. This project will advance the concept by exploring rational design of these porous polymers with different topologies by customizing the monomer with various binding groups. The objectives of the project include design, synthesis, and characterization, followed by assessment of these materials to remove inorganic contaminants …

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 research material for the grant "Multi-modal Surface Acoustic Wave Sensing System for Pressure and Temperature monitoring of Spent Fuel Canisters." This project is a collaboration of ​University of North Texas, Oak Ridge National Laboratory, and National Energy Technology Laboratory to develop a multi-modal wireless passive SAW (Surface Acoustic Wave) sensor array, which are deployed on the outside surface of stainless steel canisters used for nuclear waste, to monitor the strain of the canister and thus determine the inside pressure to ensure safety and security. In addition, the SAW strain sensor could also measure the surface temperature and potentially monitor helium gas leaks.​

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.

Data management plan for the grant "Regulators of von Willebrand Factor Levels." Von Willebrand Disease is the most prevalent bleeding disease. In one of the types called type 1 von Willebrand Disease, the disease-causing genes are not known. Using zebrafish as a model, this project proposes to identify genes that cause the disease by crippling the genes by knockdown methods, and such identification may lead to not only the identification of mutations in the corresponding human genes but also to a better diagnosis.

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 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, "MRI: Acquisition of a High Performance Hybrid Computer Cluster for Computational Modeling." Research grant for the purchase, installation, and operation of a new high-performance computing (HPC) resource, called CRUNTCH4, to be deployed at the University of North Texas’ (UNT) Center for Advanced Scientific Computing and Modeling (CASCaM). This much needed HPC resource combines different computing architectures and significant amounts of data storage, all connected via a high-speed communications fabric. This computing resource will provide the means for CASCaM investigators to continue research on a broad range of topics including quantum chemistry, materials design, biomolecular simulations, machine-learning based chemical discovery, and bioinformatics, among others.

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 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, "Patterns and Drivers of Intra-Urban Heat and Pollution Island Interactions." Research on the urban heat island (UHI) and urban pollution island (UPI) effects at the neighborhood scale by integrating sensor networks, earth observations, and geospatial analysis. The spatial patterns and intra-annual variability of UHI-UPI interactions and model the urban form drivers controlling UHI-UPI interaction variability will also be examined. These data will be analyzed to determine when and where urban heat islands and urban pollution islands occur, and the risks that their interaction poses to urban residents. These results will support informed decision-making for urban heat and air pollution mitigation.