Data Science Facility Core

数据科学设施核心

• 批准号: 9918405
• 负责人: Weihsueh A Chiu
• 金额: $ 31.8万
• 依托单位: TEXAS A&M UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9918405
• 关键词: Address; Applications Grants; Area; Bioinformatics; Biological; Biological Sciences; Biometry; Chemicals; Collaborations; Communities; Complex; Computational Biology; Computer Analysis; Computer Models; Computer software; Core Facility; Custom; Data; Data Analyses; Data Collection; Data Science; Data Security; Data Set; Data Sources; Data Storage and Retrieval; Decision Making; Development; Environment; Environmental Exposure; Environmental Hazards; Environmental Health; Environmental Risk Factor; Evaluation; Funding; Genomics; Goals; Health Sciences; Human Resources; In Vitro; Individual; Integrative Medicine; Interdisciplinary Study; Knowledge; Mathematics; Metabolism; Methods; Mission; Modeling; National Institute of Environmental Health Sciences; Pilot Projects; Policies; Policy Maker; Population; Positioning Attribute; Process; Public Health; Publications; Regulation; Research; Research Design; Research Personnel; Resources; Rest; Risk; Science; Security; Service delivery model; Services; Statistical Models; Students; Texas; Toxic effect; Toxicokinetics; Translating; Translational Research; Uncertainty; Vision; Work; algorithmic methodologies; base; computational toxicology; data cleaning; data exchange; data integration; data integrity; data management; data mining; data streams; data warehouse; design; diverse data; experience; faculty research; flexibility; high dimensionality; in vitro Assay; in vivo; indexing; large datasets; member; method development; novel; open data; open source; operation; outreach; pharmacokinetic model; population based; predictive modeling; repository; response; risk prediction model; statistics; stressor; structured data; unstructured data; usability; voucher; web portal

DATA SCIENCE FACILITY CORE (DSFC) ABSTRACT The proposed Texas A&M Center for Environmental Health Research (TiCER) is focused on “Enhancing Public Health by Identifying, Understanding and Reducing Adverse Environmental Health Risks.” The Data Science Facility Core (DSFC) will provide key enabling services in data collection, storage, analysis, and integration to assist members of the Center to fulfill this mission. Key data science challenges that the DSFC will address include the high dimensionality of novel biological and chemical data streams, the mixture of structured and unstructured data at the level of local communities, and the need to translate data into actionable knowledge for environmental health decision-making. The DSFC will support these needs by leveraging data science expertise and resources across Texas A&M. There is a nearly ubiquitous need for such services across the Center’s four research themes: Stressors to Responses; Environment and Metabolism; Individuals to Populations; and Community, Regulation, and Policy. Thus, the DSFC will serve as a key facilitator of interactions across the entire Center. The DSFC’s overarching goals are to provide novel and state-of-the-art data science services to support and integrate the Center’s scientific and outreach activities. This goal will be accomplished by providing services in several specialized and complex areas of data science—computational toxicology, bioinformatics, and statistics/biostatistics—as well as providing a central data repository for Center investigators. In the computational toxicology area, the focus will be on characterizing and predicting chemical toxicity through both mechanistic and data-driven mathematical/statistical models that integrate multiple diverse data sets. In the bioinformatics area, emphasis will be placed on guiding investigators in navigating the many available commercial and open-source analysis options, developing customized analytical workflows, and addressing any needs for new methods development. Statistics and biostatistics support will be provided both for basic services such as study design and routine analysis, as well as for custom needs for collecting, processing, integrating, and drawing conclusions from diverse data sets. Integration of data will be facilitated through a common data repository, the design and development of which will be closely coordinated with the rest of the Center, and which be indexed for searching and data mining. The DSFC will provide these services through a flexible combination of direct support from Core personnel and vouchers to allocate as needed ($138,000/year from NIEHS and $20,000/year from Texas A&M commitment). The DSFC will work closely with the Administrative Core to encourage investigators’ use of the DSFC and access and track the Core’s operation and funding allocations. The leaders of the DSFC have an established track record of collaborative, interdisciplinary, and translational research, and are well positioned to support the data science needs across the Center to address public health risks from environmental exposures in Texas and beyond.

数据科学设施核心(DSFC)摘要 拟议中的德克萨斯农工环境健康研究中心(TICER)致力于“增强 通过识别、了解和减少不利的环境健康风险来促进公共健康。数据 科学设施核心(DSFC)将在数据收集、存储、分析和 整合以协助中心成员完成这一使命。数据科学面临的关键挑战 将解决的问题包括新的生物和化学数据流的高维、混合 本地社区级别的结构化和非结构化数据，以及将数据转换为 环境健康决策的可操作知识。Dsfc将通过以下方式支持这些需求 利用德克萨斯A&M的数据科学专业知识和资源，几乎无处不在地需要 这种服务涉及该中心的四个研究主题：应对的压力源；环境和 新陈代谢；个体到群体；以及社区、法规和政策。因此，dsfc将作为 整个中心互动的关键推动者。Dsfc的首要目标是提供新颖的 和最先进的数据科学服务，以支持和整合该中心的科学和外联 活动。这一目标将通过在以下几个专门和复杂的领域提供服务来实现 数据科学-计算毒理学、生物信息学和统计学/生物统计学-以及提供 中心调查人员的中央数据存储库。在计算毒理学领域，重点将放在 通过机械驱动和数据驱动来表征和预测化学毒性 集成多个不同数据集的数学/统计模型。在生物信息学领域，强调 将被放在引导调查人员浏览许多可用的商业和开源分析 选项，开发定制的分析工作流，并满足任何对新方法的需求 发展。将为研究设计等基本服务提供统计和生物统计支持 和常规分析，以及收集、处理、集成和绘制的定制需求 从不同的数据集得出的结论。数据的集成将通过公共数据储存库来促进， 该中心的设计和开发将与中心的其他部门密切协调，并将 为搜索和数据挖掘编制了索引。DSFC将通过以下灵活组合提供这些服务 来自核心人员的直接支持和根据需要分配的代金券(NIEHS和 德克萨斯州A&M承诺每年20,000美元)。Dsfc将与管理核心密切合作，以 鼓励调查人员使用直接投资信托基金，并访问和跟踪核心项目的运作和资金分配。 Dsfc的领导人在协作、跨学科和翻译方面有着良好的记录。 研究，并处于有利地位，支持整个中心的数据科学需求，以解决公共卫生问题 来自德克萨斯州和其他地方环境暴露的风险。