Data Science Facility Core

数据科学因子核心（DSFC）摘要 拟议中的德克萨斯A&M环境健康研究中心（TiCER）的重点是“加强 通过识别、理解和减少不利的环境健康风险来实现公共健康。数据 科学设施核心（DSFC）将在数据收集、存储、分析和 整合，以协助该中心的成员，以履行这一使命。DSFC面临的关键数据科学挑战 将解决包括新的生物和化学数据流的高维性， 地方社区一级的结构化和非结构化数据，以及将数据转化为 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 利用德州农工大学的数据科学专业知识和资源。有一个几乎无处不在的需要， 这些服务贯穿中心的四个研究主题：应对压力的因素;环境和 代谢;个人对人口;和社区，法规和政策。因此，DSFC将作为 是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推广 活动为实现这一目标，将在若干专门和复杂的领域提供服务， 数据科学-计算毒理学，生物信息学和统计学/生物生物学-以及提供一个 中心研究者的中央数据存储库。在计算毒理学领域，重点将放在 通过机械和数据驱动来表征和预测化学毒性 整合多个不同数据集的数学/统计模型。在生物信息学领域， 将被放置在指导调查人员在导航许多可用的商业和开源分析 选项，开发定制的分析工作流程，并满足对新方法的任何需求 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，以及用于收集、处理、整合和绘制的定制需求 从不同的数据集得出的结论。将通过一个共同的数据储存库促进数据的整合， 其设计和开发将与中心的其他部分密切协调， 索引以进行搜索和数据挖掘。DSFC将通过以下灵活组合提供这些服务： 核心人员的直接支持和根据需要分配的代金券（NIEHS每年提供138，000美元， 20,000美元/年，来自德克萨斯A&M的承诺）。DSFC将与行政核心密切合作， 鼓励调查人员使用DSFC并访问和跟踪核心的运作和资金分配。 DSFC的领导者在协作、跨学科和翻译方面有着良好的记录。 研究，并有能力支持整个中心的数据科学需求，以解决公共卫生问题 德克萨斯州及其他地区的环境风险。

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.