Data Management & Analysis Core

数据管理

基本信息

批准号：
10700820
负责人：
Mei Lu
金额：
$ 20.73万
依托单位：
WAYNE STATE UNIVERSITY
依托单位国家：
美国
项目类别：
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/10700820
关键词：
Address Affect Area Awareness Bioinformatics Biomedical Research Biometry Birth Birth Rate Cities Collaborations Communication Communities Complex Data Data Analyses Data Analytics Data Collection Data Coordinating Center Data Management Resources Data Set Data Storage and Retrieval Dedications Development Doctor of Philosophy Educational workshop Emerging Technologies Engineering 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 Maps Mentors Methodology Michigan Mus Outcome Pathway Analysis Plants Premature Birth Procedures Property Quality Control Reproducibility of Results Research Research Design Research Project Grants Risk Sampling Scientist Secure Services Site Soil Source Superfund Techniques Testing Time Training United States Environmental Protection Agency Universities Zebrafish analytical method 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 model organism 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

项目摘要

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/摘要接触挥发性有机化合物（VOC）是母子后代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。污染超级基金、住宅、后工业城市的浅层土壤和地下水商业和工业地产，导致蒸汽侵入中心的暴露。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。（DMAC）将提供统一、集成的数据和生物统计/信息学服务，同时促进 CLEAR 项目和核心之间的科学协同作用；我们将通过对接来实现这些目标与CLEAR核心共同推进两项环境科学与工程研究项目（E1 和 E2）和三个生物医学研究项目（B1-B3）。拥有 25 年担任多站点项目数据协调中心的经验，包括我们的基于标准操作程序的灵活、集中的数据管理基础设施，我们与研究科学家无缝合作，设计具有成本效益和时间效益的研究，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学和信息学专业知识 DMAC 公共卫生研究中的前沿分析方法将确保 CLEAR 研究的成功。项目通过： 1) 定制一个可通过网络访问、集中且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来促进 CLEAR 的发展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并通过与研究经验和培训协调核心合作来培训下一个一代环境科学家的数据收集和管理原则。