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（VOCs）是一个重要的决定因素， 健康，对早产和相关的不良健康结果的影响。VOCs 污染浅层土壤和地下水的后工业城市在超级基金，住宅， 商业和工业性质，导致通过蒸汽侵入的暴露。中心 领导环境意识和研究（CLEAR）致力于了解和 缓解这一严重的环境健康问题。数据管理和分析核心 （DMAC）将提供统一和综合的数据和生物统计/信息学服务， CLEAR项目和核心的科学协同作用;我们将通过接口实现这些目标 与CLEAR核心一起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年的多站点项目数据协调中心经验，包括我们的 灵活、集中的数据管理基础设施，建立在标准操作程序的基础上， 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， 根据“公平”指导原则（可查找、可解释、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学和信息学专业知识- 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）定制一个可通过网络访问的、集中的和安全的数据管理系统， 捕获复杂的数据，以确保数据质量和及时的数据整合，以促进数据共享， 互操作性和2）通过与项目和核心领导人合作， 基于综合数据分析的关于VOC暴露和不良健康影响的新假设 通过与研究经验和培训协调核心合作， 在数据收集和管理原则方面培养环境科学家。