CHEAR Center for Data Science

CEAR 数据科学中心

• 批准号: 9563491
• 负责人: SUSAN L TEITELBAUM
• 金额: $ 29.44万
• 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 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9563491
• 关键词: Address; Area; Bioinformatics; Biological Markers; Biometry; Catalogs; Child; Child health care; Collection; Communities; Computing Methodologies; Consultations; Data; Data Analyses; Data Analytics; Data Science; Data Set; Databases; Development; Ensure; Environment; Environmental Epidemiology; Environmental Exposure; Environmental Health; Environmental Impact; Epidemiology; Extramural Activities; Faculty; FarGo; Funding; Genomics; Goals; Growth and Development function; Individual; Knowledge; Laboratories; Language; Lead; Leadership; Logistics; Maintenance; Measurement; Metadata; Methodology; Mission; National Children' s Study; National Institute of Environmental Health Sciences; Ontology; Positioning Attribute; Process; Productivity; Research; Research Design; Research Infrastructure; Research Personnel; Research Project Grants; Research Support; Resource Development; Resources; Retrieval; Role; Science; Scientific Advances and Accomplishments; Services; Statistical Data Interpretation; Statistical Methods; Sum; United States National Institutes of Health; Work; cohesion; computer science; cost; data integration; data management; data resource; data sharing; design; epidemiology study; gene environment interaction; high dimensionality; innovation; interoperability; medical schools; metabolomics; method development; novel; public health relevance; repository; statistical service; support network; tool

 DESCRIPTION (provided by applicant): The National Institute of Environmental Health Sciences (NIEHS) is establishing an infrastructure, the Children's Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and statistical analyses to add or expand the inclusion of environmental exposures in their research. CHEAR is a multiunit infrastructure to provide access to comprehensive exposure assessment for NIH funded studies of Children's Health. The Icahn School of Medicine at Mount Sinai is applying to be the CHEAR Data Repository, Analysis and Science Center. The Center for Data Science (Data Center) will provide intellectual and logistical support for the maintenance, analysis, interpretation, curation, and reuse of data generated by CHEAR in support of extramural research projects. The Data Center will provide a repository for all data and support for statistical analysis and interpretation. Specifically, for the investigators that utilize CHEARfor studies of children's environmental health using the data generated within and outside the network, the Data Center will provide: 1) data repository and management; 2) statistical consultation and analysis services; 3) collaborative research support; 4) statistical and analytica methods development; and 5) data science resources. The ultimate goal of the Data Center is to maximize potential use and impact of exposure data both within and outside of CHEAR. The creation of the CHEAR Center for Data Science is critical for expanding our knowledge about the role of the environment in the growth, development, and health of children. Researchers who access the resources of the CHEAR Data Center will be able to go far beyond their initial hypotheses and potentially accomplish research that was previously thought infeasible or too costly. Indeed, through the use of the CHEAR Data Center, investigators will be able to increase their productivity and advance the scientific community's ability to examine the environment on an exposome scale. Pooling of multiple datasets in a cohesive and integrated manner will be made possible through the language standards that will be developed by the Data Center. Further, the Leadership is composed of world leaders in Environmental Epidemiology, Computer Science, Environmental Biostatistics, and Ontology who are ready and enthusiastic about carrying out the mission of the CHEAR Data Center as well as the CHEAR Network overall. Mount Sinai is uniquely positioned to provide these services; a Data Center already exists and will be expanded in both resources and infrastructure to meet the requirements of the CHEAR Network. Additionally, there is excellent Institutional support in both contributed additional funds and services for the Data Center. Thus, in sum, the children's health research community needs the CHEAR Data Center and we at Mount Sinai have everything that is needed to provide a state-of-the-art Data Center for the research community.

 描述（由应用程序提供）：美国国家环境健康科学研究所（NIEHS）正在建立基础设施，儿童健康暴露分析资源（Chear），以提供校外研究社区的实验室和统计分析的访问，以增加或扩展其研究中环境暴露的包含。 Chear是一种多个基础设施，可为NIH资助的儿童健康研究提供综合的接触评估。西奈山的伊坎医学院正在申请成为Chear数据存储库，分析和科学中心。数据科学中心（数据中心）将为Chear在支持壁外研究项目中生成的数据的维护，分析，解释，策划和再利用提供智力和后勤支持。数据中心将为所有数据提供存储库，并为统计分析和解释提供支持。具体来说，对于使用网络内部和外部生成的数据来利用Chear来研究儿童环境健康的调查人员，数据中心将提供：1）数据存储库和管理； 2）统计咨询和分析服务； 3）协作研究支持； 4）统计和分析方法的开发； 5）数据科学资源。数据中心的最终目标是最大程度地利用Chear内部和外部的曝光数据的潜在使用和影响。 Chear数据科学中心的创建对于扩大我们对环境在儿童成长，发展和健康中的作用的了解至关重要。获取Chear数据中心资源的研究人员将能够远远超出其最初的假设以及以前认为不可行或太昂贵的潜在完成的研究。确实，通过使用Chear数据中心，研究人员将能够提高其生产率，并提高科学界在杂类规模上检查环境的能力。通过数据中心将开发的语言标准，以凝聚力和集成方式汇总多个数据集。此外，领导力是由环境流行病学，计算机科学，环境生物统计学和本体学领域的世界领导者组成的，他们为执行Chear Data Center以及Chear网络的任务做好准备和热情。西奈山（Mount Sinai）在提供这些服务方面拥有独特的位置；数据中心已经存在，并将在资源和基础架构中扩展，以满足Chear网络的要求。此外，在数据中心为额外的资金和服务提供了出色的机构支持。总而言之，儿童健康研究界需要Chear数据中心，而西奈山的我们拥有为研究社区提供最新数据中心所需的一切。