Human Health Exposure Analysis Resource (HHEAR) Data Center

人类健康暴露分析资源 (HHEAR) 数据中心

• 批准号: 9814205
• 负责人: SUSAN L TEITELBAUM
• 金额: $ 250.4万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9814205
• 关键词: Address; Area; Big Data; Bioinformatics; Biological Markers; Biometry; Catalogs; Child; Child Health; Collaborations; Collection; Communities; Computing Methodologies; Consultations; Data; Data Analyses; Data Analytics; Data Management Resources; Data Scientist; Data Set; Development; Ensure; Environment; Environmental Epidemiology; Environmental Exposure; Environmental Health; Environmental Impact; Epidemiology; Extramural Activities; Faculty; Foundations; Funding; Goals; Health; Human; Individual; Infrastructure; Institutes; Laboratories; Lead; Leadership; Logistics; Longevity; Maintenance; Measurement; Metadata; Methodology; Mission; National Institute of Environmental Health Sciences; Ontology; Outcome; Positioning Attribute; Process; Research; Research Design; Research Personnel; Research Project Grants; Research Support; Resources; Retrieval; Science; Scientific Advances and Accomplishments; Services; Statistical Data Interpretation; Statistical Methods; Sum; Vocabulary; Work; analytical method; collected works; computer science; cost; data integration; data management; data resource; data science resource; data sharing; data warehouse; design; epidemiology study; epigenomics; experience; human data; innovation; interoperability; medical schools; metabolomics; multidimensional data; novel; repository; skills; statistical service; study population; support network; tool

OVERALL PROJECT SUMMARY To capture the full effects of environmental exposures on human health outcomes, the National Institute of Environmental Health Sciences (NIEHS) is expanding the focus of the Children's Health Exposure Analysis Resource (CHEAR) to encompass health across the lifecourse: the Human Health Exposure Analysis Resource (HHEAR). The Icahn School of Medicine at Mount Sinai is applying to be the HHEAR Data Center, providing intellectual and logistical support for the maintenance, analysis, interpretation, curation, and reuse of data generated by HHEAR in support of extramural research projects. Since 2015, we at Mount Sinai, in collaboration with data scientists at Rensselaer Polytechnic Institute, have served as the CHEAR Data Center, supporting studies of children's environmental health research. We propose to build on our established infrastructure, expertise, and experience as the CHEAR Data Center to provide a repository for all data and support for statistical analysis and interpretation for investigators using the data generated within and outside the network. The HHEAR Data Center will provide: 1) data repository and management resources; 2) data science resources; 3) statistical consultation and analysis services; and 4) collaborative research support. Through these efforts, we seek to ultimately maximize the potential use and impact of exposure data both within and outside of HHEAR. Indeed, investigators who access resources provided by the HHEAR Data Center will leverage the potential of big data to accelerate environmental health studies far beyond their original funded goals, and potentially accomplish research that was previously thought infeasible or too costly. The HHEAR Data Center is critical to advancing the scientific community's ability to examine the environment on an exposome scale: the design of the Data Repository will facilitate manageable and efficient combining of existing data sets; the availability of common vocabularies developed by the Data Science Resource will contribute to maximizing the usable data from each study; and the Statistical Services and Analysis Resource will ultimately apply their exposome-related analytic methods to address hypotheses on the environmental health of pooled study populations. Further, the Data Center leadership comprises world leaders in Environmental Epidemiology, Computer Science, Environmental Biostatistics, and Ontology, already working together as the CHEAR Data Center, who are eager to continue and expand their efforts in service of the HHEAR Network. Our existing Data Center will be expanded in both resources and infrastructure, including through significant institutional support, to meet the requirements of the HHEAR Network. Thus, we at Mount Sinai are uniquely positioned to provide a state-of-the-art Data Center for the environmental health research community.

总体项目摘要 为了捕捉环境暴露对人类健康结果的全面影响，国家环境研究所 环境健康科学（NIEHS）正在扩大儿童健康暴露分析的重点 涵盖整个生命过程健康的资源：人类健康暴露分析 资源（HHEAR）。西奈山伊坎医学院正在申请成为HHEAR数据中心， 为维护、分析、解释、管理和重用提供智力和后勤支持， 由HHEAR生成的数据，以支持校外研究项目。自2015年以来，我们在西奈山，在 与Rensselaer Polytechnic Institute的数据科学家合作，作为CHEMICAL数据中心， 支持儿童环境健康研究。我们建议在现有的基础上， 基础设施、专业知识和经验，作为CHEMICAL数据中心，为所有数据和 支持研究者使用内部和外部生成的数据进行统计分析和解释 网络。HHEAR数据中心将提供：1）数据存储库和管理资源; 2）数据 科学资源; 3）统计咨询和分析服务;以及4）合作研究支持。 通过这些努力，我们寻求最终最大限度地发挥暴露数据的潜在用途和影响， 在HHEAR内外。事实上，访问HHEAR数据提供的资源的研究人员 该中心将利用大数据的潜力，加速环境健康研究， 最初的资助目标，并有可能完成以前认为不可行或过于昂贵的研究。 HHEAR数据中心对于提高科学界研究环境的能力至关重要 在一个麻烦的规模：数据存储库的设计将有助于管理和有效地结合 现有的数据集;数据科学资源开发的通用词汇表的可用性将 有助于最大限度地利用每项研究的可用数据;以及统计服务和分析资源 将最终应用他们的麻烦相关的分析方法，以解决环境的假设， 汇总研究人群的健康状况。此外，数据中心领导层还包括以下领域的全球领导者： 环境流行病学，计算机科学，环境生物统计学和本体论，已经在工作 作为CHEMICAL数据中心，他们渴望继续并扩大他们的努力， HHEAR Network.我们现有的数据中心将在资源和基础设施方面进行扩展，包括 通过重要的机构支持，以满足HHEAR网络的要求。因此，我们在山 西奈半岛是唯一的定位，提供一个国家的最先进的数据中心的环境健康研究 社区