Data Management & Analysis Core

摘要/摘要 接触挥发性有机化合物(VOCs)是母子关系的重要决定因素 健康，对早产和相关的不良健康后果有影响。VOCs 污染后工业城市的浅层土壤和地下水，超级基金，住宅， 商业和工业属性，通过蒸汽侵入导致暴露。该中心为 环境意识和研究领导力(Clear)致力于理解和 缓解这一严重的环境健康问题。数据管理和分析核心 将提供统一和综合的数据和生物统计/信息学服务，同时促进 在明确的项目和核心之间实现科学协同；我们将通过接口实现这些目标 以明确的核心推进环境科学和工程研究两个项目 (E1和E2)和三个生物医学研究项目(B1-B3)。拟议的DMAC将利用 25年担任多站点项目数据协调中心的经验，包括我们的 灵活的集中式数据管理基础设施，以标准操作程序为基础， 我们与研究科学家在设计具有成本和时间效益的研究方面的无缝合作 根据“公平”指导原则(可查找、可访问、可互操作和 可重复使用)，以及我们在使用切割分析复杂数据方面的生物统计和信息学专业知识- 公共卫生研究中的边缘分析方法。DMAC将确保CLEAR研究的成功 项目：1)定制可通过Web访问的、集中的、安全的数据管理系统，以 捕获复杂数据以确保数据质量和及时数据集成，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合作开发 基于综合数据分析的关于VOC暴露和不良健康影响的新假说 并通过与研究体验和培训协调核心合作，培训下一代 一代环境科学家在数据收集和管理的原则。

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.