Data management plan for the grant, "Non-Genetic Inheritance of Hypoxia Tolerance in Fishes: Dynamics and Mechanisms." Research quantifying the inheritance of tolerance to low oxygen in a model fish and then determine the tolerance mechanisms, at organismal to molecular levels, that are passed on from parents to their offspring. The investigators will not only focus on conventional, well-studied genetic mechanisms for inheritance, but will explore so-called “epigenetic” forms of inheritance that may transfer parental characteristics for only a generation or two. Such “temporary inheritance” might actually require less energy and be more beneficial to a species than the more permanent form of genetic inheritance. This project will quantify non-genetic inheritance of hypoxia tolerance in zebrafish as a model organism and then identify underlying mechanisms, at organismal to molecular levels, in parents and in their progeny. Specifically, this project will quantify non-genetically inherited traits that allow hypoxia tolerance, determine “wash-in” and “wash-out” (i.e., the dynamics) of hypoxia-tolerant phenotypes across multiple generations, and establish epigenetic mechanism(s) of non-genetic inheritance in subsequent generations. The information provided by this project will allow biologists to better predict, and perhaps even mitigate, the negative consequences of future episodes of low oxygen in rivers and lakes.

Data management plan for the grant, "Establishing a Journey of Inclusion, Identity and Intersectionality through Guided Pathways to Enhance Latinx Success in Engineering and Computer Science." This project will bring together the University of North Texas (UNT) and North Central Texas College (NCTC) to decrease the time to graduation for transfer students in engineering and computer science (ECS) and better meet the needs of Latinx students. Three research questions will guide the project efforts. 1) How do Latinx students navigate the engineering fields at an HSI and how do their opportunities and experiences at an HSI relate to their outcomes? 2) How do faculty and staff incorporate Latinx students’ collective cultural wealth into their curricular and co-curricular programs? 3) How do the community college experiences of Latinx students inform their pathways through engineering and computer science programs at an HSI? The project will disseminate a collection of best practices arising from their collaborative effort that can serve as a model for partnerships between community colleges and universities designed to increase representation of the Latinx community in the engineering and computer science workforce.

Data management plan for the grant, "Developing a Biomanufacturing Platform for the Site-Selective Functionalization and Structural Diversification of Cytochalasan-Based Carbon Skeletons." This project will identify fungal enzymes that efficiently modify more than one substrate in a predictable way. Also, enzymes will be engineered to expand the range of substrates. A biomanufacturing platform to synthesize bioactive molecules at lower costs will be the end result. Fungi can synthesize small molecules with complex structures using a number of highly coordinated enzymes. These molecules are difficult to make synthetically, and they can aid in crop production or have beneficial human health effects. Cytochalasans are phytotoxic, cytotoxic and actin-binding natural products. Produced by fungi, over 400 variants have been described. The structural diversity is partly explained by the flexibility of the enzymes that introduce and modify functional groups. These enzymes structurally rearrange the core carbon skeleton in a site-selective manner, often on more than one substrate. Genome mining will be used to identify cytochalasan tailoring enzymes. Overproducing strains will be characterized chemically. Transcription factor over-expression will be investigated. Targeted gene knock-out will confirm the function and scope of the enzymes. The enzymes will be engineered to expand their substrate range. Synthetic biology and metabolic …

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 "IRES Track II - Cape Horn ASIs: Climate change and disease ecology at the southern end of the Americas." Research giving students the opportunity to be trained in quantitative experimental design and work as part of a multinational research collaboration to study infectious disease emergence in one of the few remaining pristine places on Earth. The Cape Horn Biosphere Reserve (CHBR) off the southern tip of South America protects pristine ecosystem is perfect for this type of graduate student training. The CHBR is part of the sub-Antarctic Magellanic ecoregion, which is globally significant because it houses the worlds southernmost forest biome, contains numerous endemic species, is remote, and is relatively free of anthropogenic impacts. The research questions themselves will be flexible, but organized thematically. Specifically, this IRES Track-II will focus on the merging molecular genetic analysis using a mobile next generation sequencing lab with mist netting and arthropod trapping to investigate the impacts of wildlife disease on local biodiversity and community structure. Secondarily, eDNA and traditional wildlife disease monitoring approaches will be applied to understand the potential for zoonosis and understanding ecological factors that contribute to, or inhibit, zoonosis. Resultantly, participation in this program …

Data management plan for the grant, "Self-powered Wireless Sensors and Interfaces for UAVs." Self-powered wireless sensors acting as nanogenerators can not only harvest ambient environment energy during the flight but also are capable of wirelessly monitoring pressure, temperature and other parameters to make the UAV truly an intelligent transportation system (ITS). This proposal requests the acquisition of a Mask Aligner to pattern such self-powered sensors with nano-antenna structures for wireless communication. The addition of the proposed system will enable researchers to study novel 2D materials as self-powered sensors and actuators. The proposed infrastructure would allow the development of smart, autonomous mobility systems with breakthroughs in intelligent technologies, research and workforce preparation.

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 grant "G-RISE at the University of North Texas." The University of North Texas (UNT) serves over 32,000 undergraduate and 7,000 graduate students of which 50% of the undergraduate population and 20% of the graduate population are underrepresented minority (URM). UNT is ranked by the Carnegie Classification as a Tier 1 institute, is a Hispanic Serving Institute, and is dedicated to providing quality mentoring to a diverse group of Ph.D. students. The UNT G-­RISE mission is to provide a biomedical Ph.D. training program that is inclusive, culturally responsive, increases diversity, enhances scientific skill sets, develops trainee career and professional skill sets, provides opportunities to participants, and increases faculty development as a mentor.

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.

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.

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.

Data management for the grant, "Collaborative Research: Framework Implementations: CSSI: CANDY: Cyberinfrastructure for Accelerating Innovation in Network Dynamics." Research addressing the lack of a comprehensive cyberinfrastructure that supports innovative research challenges in large-scale, complex, dynamic networks by developing a novel platform, called CANDY (Cyberinfrastructure for Accelerating Innovation in Network Dynamics), based on efficient, scalable parallel algorithm design for dynamic networks and high-performance software development with performance optimization.

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.

This article reports the first empirical investigation of various dimensions of organization and representation of recorded knowledge and information in language archives. The study used a combination of semi-structured interviews and content analysis. Results demonstrate that, while some of the phenomena related to organization of information in language archives are specific to these types of archives, others are more typical and have been addressed by libraries in past research and practice.

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.

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 …

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.