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: 10684790
• 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/10684790
• 关键词: Acceleration; Address; Area; Big Data; Bioinformatics; Biological Markers; Biometry; Catalogs; Child; Child Health; Collaborations; Collection; Communities; Computing Methodologies; Consultations; Data; Data Analyses; Data Management Resources; Data Science Core; Data Scientist; Data Set; Development; Dimensions; Disparate; Ensure; Environment; Environmental Epidemiology; Environmental Exposure; Environmental Health; Environmental Impact; Epidemiology; Extramural Activities; Faculty; Foundations; Funding; Goals; Health; Human; Individual; Infrastructure; Institution; Laboratories; Lead; Leadership; Life Cycle Stages; Longevity; Maintenance; Measurement; 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; computer science; cost; data centers; data integration; data management; data repository; data resource; data reuse; data science resource; data sharing; data standards; design; epidemiology study; epigenomics; experience; human data; innovation; interoperability; medical schools; metabolomics; metadata standards; multidimensional data; multiple datasets; novel; repository; skills; statistical service; study population; support network; tool; usability

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.

项目总体概要 为了全面了解环境暴露对人类健康结果的影响，美国国立卫生研究院 环境健康科学 (NIEHS) 正在扩大儿童健康暴露分析的重点 涵盖整个生命周期健康的资源 (CHEAR)：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 HHEAR 生成的数据用于支持校外研究项目。自 2015 年以来，我们在西奈山 与伦斯勒理工学院的数据科学家合作，担任 CHEAR 数据中心， 支持儿童环境健康研究。我们建议在我们既定的基础上 作为 CEAR 数据中心的基础设施、专业知识和经验，为所有数据和数据提供存储库 支持研究人员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）统计咨询与分析服务； 4）合作研究支持。 通过这些努力，我们寻求最终最大化暴露数据的潜在用途和影响 HHEAR 内部和外部。事实上，访问 HHEAR 数据提供的资源的调查人员 中心将利用大数据的潜力，加速环境健康研究，远远超出其现有能力 最初的资助目标，并有可能完成以前认为不可行或成本太高的研究。 HHEAR 数据中心对于提高科学界检查环境的能力至关重要 在暴露规模上：数据存储库的设计将促进可管理和有效的组合 现有数据集；数据科学资源开发的通用词汇的可用性将 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 最终将应用他们的暴露组相关分析方法来解决有关环境的假设 汇总研究人群的健康状况。此外，数据中心的领导层包括以下领域的世界领先者： 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 CEAR 数据中心，他们渴望继续并扩大其服务范围 赫耳网络。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。于是，我们在山 西奈半岛具有独特的优势，可以为环境健康研究提供最先进的数据中心 社区。