Data Management & Analysis Core

数据管理

• 批准号: 10352968
• 负责人: Mei Lu
• 金额: $ 22.62万
• 依托单位: WAYNE STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-08 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10352968
• 关键词: Address; Affect; Animal Model; Area; Awareness; Bioinformatics; Biomedical Research; Biometry; Birth; Birth Rate; Cities; Collaborations; Communication; Communities; Complex; Custom; Data; Data Analyses; Data Analytics; Data Collection; Data Coordinating Center; Data Management Resources; Data Set; Data Storage and Retrieval; Development; Doctor of Philosophy; Educational workshop; Emerging Technologies; Ensure; Environment; Environmental Engineering technology; Environmental Health; Environmental Science; Etiology; Evaluation; Exposure to; FAIR principles; Fostering; Geographic Information Systems; Goals; Growth; Health; Health system; Human; Industrialization; Informatics; Infrastructure; Institution; Knowledge; Leadership; Location; Machine Learning; Mentors; Methodology; Michigan; Mus; Outcome; Pathway Analysis; Plant Roots; Plants; Premature Birth; Procedures; Property; Quality Control; Reproducibility of Results; Research; Research Design; Research Project Grants; Risk; Sampling; Scientist; Secure; Services; Soil; Source; Superfund; Techniques; Testing; Time; Training; United States Environmental Protection Agency; Universities; Zebrafish; analytical method; base; complex data; cost; dashboard; data infrastructure; data integration; data interoperability; data management; data quality; data sharing; design; experience; exposed human population; flexibility; ground water; innovation; insight; interoperability; migration; multidimensional data; next generation; novel; offspring; outreach services; programs; public health research; quality assurance; remote sensing; skills; statistics; success; superfund site; synergism; systems research; urban area; user-friendly; vapor intrusion; volatile organic compound; web-accessible

Summary/Abstract Exposure to volatile organic compounds (VOCs) is an important determinant of maternal-offspring health, with implications for preterm birth and associated adverse health outcomes. VOCs contaminate shallow soils and groundwater of post-industrial cities at Superfund, residential, commercial, and industrial properties, leading to exposures via vapor intrusion. The Center for Leadership in Environmental Awareness and Research (CLEAR) is dedicated to understanding and mitigating this serious environmental health problem. The Data Management and Analysis Core (DMAC) will provide unified and integrated data and biostatistics/informatics services, while promoting scientific synergy across the CLEAR projects and cores; we will achieve these goals by interfacing with the CLEAR cores to advance the two environmental science and engineering research projects (E1 and E2) and three biomedical research projects (B1–B3). The proposed DMAC will leverage over 25 years of experience serving as the Data Coordinating Center for multisite projects, including our flexible, centralized data management infrastructure that builds on standard operating procedures, our seamless collaboration with research scientists in designing cost- and time-efficient studies and having data collection based on “FAIR” guiding principles (Findable, Accessible, Interoperable, and Reusable), and our biostatistics and informatics expertise in analyzing complex data using cutting- edge analytical methods in public health research. DMAC will ensure the success of CLEAR research projects by: 1) Customizing a web-accessible, centralized, and secured data management system to capture complex data to ensure data quality and timely data integration to foster data sharing and interoperability and 2) Catalyzing CLEAR growth by working with project and core leaders to develop new hypotheses about VOC exposures and adverse health effects based on integrated data analysis and by collaborating with the Research Experience and Training Coordination Core to train the next generation of environmental scientists in the principles of data collection and management.

摘要/摘要 暴露于挥发性有机化合物（VOC）是孕产妇春季的重要决定因素 健康，对早产和相关的不良健康结果有影响。 VOC 超级基金的后工业城市的浅层土壤和地下水 商业和工业特性，通过蒸气侵入导致暴露。中心 环境意识和研究（清晰）的领导力是专门用于理解和 缓解这种严重的环境健康问题。数据管理和分析核心 （DMAC）将提供统一和集成的数据以及生物统计学/信息学服务，同时推广 在清晰的项目和核心方面的科学协同作用；我们将通过接口实现这些目标 借助清晰的核心来推进两个环境科学和工程研究项目 （E1和E2）和三个生物医学研究项目（B1 – B3）。拟议的DMAC将利用 25年的经验作为多站点项目的数据协调中心，包括我们的 灵活的集中数据管理基础架构，基于标准操作程序， 我们与研究科学家在设计成本和时间效率研究方面的无缝合作以及 根据“公平”指导原则（可访问，可互操作，可互操作，并且 可重复使用的），以及我们的生物统计学和信息专业知识，用于分析复杂数据，使用剪切数据 公共卫生研究中的边缘分析方法。 DMAC将确保清晰研究的成功 项目作者：1）自定义一个可访问，集中和安全的数据管理系统的项目 捕获复杂的数据以确保数据质量和及时的数据集成以促进数据共享和 互操作性和2）通过与项目和核心领导者一起发展来催化明显的增长 基于综合数据分析的有关VOC暴露和不良健康影响的新假设 并通过与研究经验和培训协调核心合作进行培训 在数据收集和管理原理中生成环境科学家。