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.

总体项目摘要 为了捕获环境暴露对人类健康结果的全部影响，国家研究所 环境健康科学（NIEHS）正在扩大儿童健康暴露分析的重点 资源（Chear）涵盖整个生命的健康：人类健康暴露分析 资源（HHEAR）。西奈山的伊坎医学院正在申请成为HHEAR数据中心， 为维护，分析，解释，策划和再利用提供智力和后勤支持 HHEAR生成的数据支持壁外研究项目。自2015年以来，我们在西奈山（Mount Sinai） 与Rensselaer理工学院的数据科学家合作，曾担任Chear数据中心， 支持儿童环境健康研究的研究。我们建议以我们的既定 作为Chear数据中心的基础架构，专业知识和经验，为所有数据提供存储库， 支持研究人员使用内部和外部生成的数据的统计分析和解释 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； 4）协作研究支持。 通过这些努力，我们试图最终最大化暴露数据的潜在使用和影响 在Hhear内外。实际上，访问HEAR数据提供资源的调查人员 中心将利用大数据的潜力来加速环境健康研究 原始资助的目标，并有可能完成以前认为不可行或太昂贵的研究。 HHEAR数据中心对于促进科学界检查环境的能力至关重要 在揭示范围内：数据存储库的设计将有助于可管理，有效的结合 现有数据集；数据科学资源开发的常见词汇的可用性将 有助于最大化每项研究的可用数据；以及统计服务和分析资源 最终将应用其与外界相关的分析方法来解决有关环境的假设 合并研究人群的健康。此外，数据中心领导包括世界领导人 环境流行病学，计算机科学，环境生物统计学和本体学已经有效 作为Chear数据中心，他们渴望继续并扩大自己的努力以服务 HHEAR网络。我们现有的数据中心将在资源和基础架构中扩展 通过大量的机构支持，满足HHEAR网络的要求。因此，我们在芒特 西奈（Sinai）的位置是为环境健康研究提供最新数据中心 社区。