Data management plan for the grant, "EAGER: Experimental Methods and Measurements of Anomalous Properties of Supercritical Fluids and their Mixtures"

Data management plan for the grant, "Cancer Detection and Treatment Based on Low-Level Light Interaction with Biological Cells: Augmentation to Existing Human Performance Research Capabilities."

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.

Data management plan for the grant, "Connecting Communities with Libraries, Archives, and Historians Through Oral Histories." The University of North Texas (UNT) Department of Information Science, partnering with the UNT Oral History Program, will host a series of forums to identify best practices and strategies to respond to challenges around building, implementing, preserving, and accessing community oral history projects. The project team will convene librarians, archivists, oral history practitioners, public historians, community-based memory workers, and others working in oral history to identify good practices, share challenges and lessons learned, and prepare an actionable roadmap for building, implementing, preserving, and sustaining community oral history projects.

Data management plan for the grant, "Development of advanced biocatalyst tools and resources to enable biogas-based biomanufacturing."

Data management plan for the grant "Development of Novel Approaches to Earth-abundant Methane Catalysis." Research on catalytic cycles for C–H activation and functionalization of light alkanes based on the CMD (concerted metalation deprotonation) mechanism will be modeled for Earth-abundant metal dicarboxylates and related complexes. The impact of inner and outer coordination sphere effects upon catalytic cycles for light alkane functionalization will be assessed using computational chemistry techniques. The aforementioned studies will be leveraged to identify promising, synthetically feasible lead catalysts for experimental collaborators.

Data management plan for the grant "FY2021 DARPA YFA: Next generation of wireless power transfer network of Unmanned Aircraft System (UAS) using electromechanical beamforming." Research aiming to develop the next generation of wireless power transfer (WPT) network that is scalable, safe, and efficient and can be deployed in a UAS by incorporating waveform engineering, electromechanical beamforming, integrated phased-array antenna, and transmitter (TX)/receiver (RX) co-design. This project aims to reveal the fundamental understanding of the energy sphere formation in a 3D space using UAVs as a case study. Although interests in radiative (far-field) WPT using beamforming has been growing rapidly because of its capability to energize a large number of autonomous devices, most of these works are still in the theoretical phase without any practical implementation. This project aims to implement a robust beamforming network using a bottom-up approach (from the antenna to the inter-connected network) that is highly important for addressing the challenges associated with a dynamically changing environment.

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 "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 "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 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.

Data management plan for the grant "Metal Oxynitrides: Tuning Metal-N and Metal-O Interactions for Improved Electrocatalytic Properties at the Liquid/Solid Interface." Research investigating the fundamental chemical interactions relevant to the conversion of dinitrogen to ammonia via more energy-efficient routes. The studies will help in understanding the chemical and material factors that are most important for optimizing new materials for ammonia production from dinitrogen, and applications to other important industrial reactions.

Data management plan for the grant, "Variable Conductor Radiator for CO2 Deposition in Deep Space Transit"

Data management plan for the grant, "GenCyber Teachers Camp." The goal of the UNT GenCyber Teacher Camp is to increase the cybersecurity expertise of middle and high school Computer Science teachers so that they can introduce cybersecurity curriculum into their classrooms. We will recruit 20 teachers who teach Computer Science and STEM-related middle/high school courses. We will create modules that teachers can use to create positive environments for students and thus to motivate them to gain interest in cybersecurity.

Data management plan for the grant, "Improving Remote Breathalyzer Procedures used by Clinicians and Researchers to Remotely Monitor Alcohol Use."

Data management plan for the grant, "Maternal Acetaminophen Use and Childhood Cancer."

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

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 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."