This report discusses a proposed framework for modifications to AI/ML-based SaMD that is based on the internally harmonized International Medical Device Regulators Forum risk categorization principles, FDA's benfit-risk framework, risk management principles in the software modifications guidance, and the organization-based TPLC approach as envisioned in the Digital health Software Precertification Program. The authors ask for public feedback about the questions posed in the report.

This report describes an accountability framework for artificial intelligence (AI). The framework is organized around four complementary principles and describes key practices for federal agencies and other entities that are considering and implementing AI systems. Each practice includes a set of questions for entities, auditors, and third-party assessors to consider, along with audit procedures and types of evidence for auditors and third-party assessors to collect.

Presentation discussing the challenges and opportunities in making unique collections available online. Part of a webinar hosted by the University of Colorado Boulder for the Curating the Campus speaker series, on March 31, 2021.

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 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.

This study applies the knowledge, skills, and abilities (KSA) framework for eScience professionals to data service positions in academic libraries. Understanding the KSAs needed to provide data services is of crucial concern. The current study looks at KSAs of data professionals working in the United States academic libraries. An exploratory sequential mixed method design was adopted to discover the KSAs. The study was divided into two phases, a qualitative content analysis of 260 job advertisements for data professionals for Phase 1, and distribution of a self-administered online survey to data professionals working in academic libraries research data services (RDS) for Phase 2. The discovery of the KSAs from the content analysis of 260 job ads and the survey results from 167 data professionals were analyzed separately, and then Spearman rank order correlation was conducted in order to triangulate the data and compare results. The results from the study provide evidence on what hiring managers seek through job advertisements in terms of KSAs and which KSAs data professionals find to be important for working in RDS. The Spearman rank order correlation found strong agreement between job advertisement KSAs and data professionals perceptions of the KSAs.

Digital language archives are used for the preservation of documented language data, such as video and voice recordings, transcriptions, survey data, and ethnographic fieldnotes. This data is most often used for research and linguists and anthropologists are generally heavily involved in the creation of language archives. Ideally, Indigenous communities that are represented in the archives are also able to access their data, but this is not always the case, especially if poor internet access and lack of technological know-how prevent archive use. In addition, western epistemologies are embedded in archival logics, exacerbating the issues surrounding Indigenous access and pointing to the need for a decolonizing archival design that centers the needs of its users. Using ethnographic research methods and a decolonizing framework, I conducted a usability study on the Archive of the Indigenous Languages of Latin America (AILLA) to uncover the cultural-based meanings that inform AILLA use. Using linguistics and anthropology listservs, I recruited research participants for a Qualtrics survey and conducted semi-structured interviews that explore the user perspective on AILLA. I analyzed AILLA's Google Analytics data and used qualitative and quantitative research methods to build upon the previous literature in user-centered design approaches to language archives. As one of …

Data management plan for the project "Detecting Irrigation System Types for Agricultural Lands Across the Nation."

Conference proceedings of the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021. It includes 14 peer-reviewed papers that were presented at the workshop and an introduction from the workshop organizers.

Article providing remarks for a management plan for Brazilian linguistic documentation repositories in order to contribute to their conservation. It was presented at the 1st International Workshop on Digital Language Archives held on September 30-October 1, 2021 as part of the ACM/IEEE Joint Conference on Digital Libraries 2021.

Data management plan for the University of North Texas GenCyber Academy grant. The GenCyber Cybersecurity Program at the University of North Texas is part of the GenCyber program. The program is hosted by the Department of Computer Science and Engineering. The mission as part of the GenCyber program is to engage students at an early age in cybersecurity field and inspire them to become skilled cybersecurity professionals. This is provided by free summer cybersecurity camps for North Texas middle and high school students (7th-11th grade). The goals of the summer camps are to help students at an early age to understand correct and safe on-line behavior, increase students' interest in cybersecurity careers and improve diversity in the cybersecurity workforce of the nation.

Data management plan for the grant "Multi-body interactions and carrier dynamics in WSe2 for high-performance quantum-enabled devices."

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 "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 "2021 NCAE-C-002 University of North Texas."

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 "Development of Genetic Sensors and Circuits for Creating Novel Cellular Behaviors." This research is expected to advance the capability to engineer organisms for biomedical uses. Specifically, the outcomes of this project include design principles for engineering regulators from different protein families, an extensive set of genetic sensors for detecting a broad range of signals, and novel genetic circuits that address uprising problems in biomedical fields. It uses a novel multidisciplinary approach to enhance the health of the nation by creating tools that facilitate both medical-related discoveries and the implementation of new strategies for biomedical applications.

Data management plan for the research project "Enabling Multi-scale Modeling by Deciphering Fundamental Mechanisms Underlying Phase Stability, Deformation and Oxidation in Refractory Complex Concentrated Alloys (RCCAs) and Intermetallics."

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 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, "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 "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.