CHEAR Center for Data Science

 描述(由申请人提供)：国家环境健康科学研究所(NIEHS)正在建立一个基础设施--儿童健康暴露分析资源(CHEAR)，为校外研究界提供实验室和统计分析，以增加或扩大他们研究中的环境暴露。CHEAR是一个多单元基础设施，为NIH资助的儿童健康研究提供全面的暴露评估。位于西奈山的伊坎医学院正在申请成为CHEAR数据仓库、分析和科学中心。数据科学中心(Data Center)将为维护、分析、解释、整理和重新利用CHEAR产生的数据提供智力和后勤支持，以支持外部研究项目。数据中心将为所有数据提供储存库，并为统计分析和解释提供支持。具体而言，对于利用CHEAR利用网络内外产生的数据研究儿童环境健康的调查人员，数据中心将提供：1)数据储存库和管理；2)统计咨询和分析服务；3)合作研究支持；4)统计和分析方法开发；5)数据科学资源。数据中心的最终目标是最大化CHEAR内外暴露数据的潜在使用和影响。CHEAR数据科学中心的建立对于扩大我们对环境在儿童成长、发展和健康中的作用的知识至关重要。访问CHEAR数据中心资源的研究人员将能够远远超出他们最初的假设，并有可能完成以前被认为不可行或过于昂贵的研究。事实上，通过使用CHEAR数据中心，研究人员将能够提高他们的生产力，并提高科学界在暴露范围内检查环境的能力。通过数据中心将制定的语言标准，将能够以连贯和综合的方式汇集多个数据集。此外，领导层由环境流行病学、计算机科学、环境生物统计学和本体论领域的世界领导者组成，他们准备并热情地履行CHEAR数据中心以及整个CHEAR网络的使命。西奈山是提供这些服务的独特位置；一个数据中心已经存在，并将在资源和基础设施方面进行扩展，以满足CHEAR网络的要求。此外，在为数据中心贡献的额外资金和服务方面都有出色的机构支持。因此，总而言之，儿童健康研究社区需要CHEAR数据中心，而我们西奈山拥有为研究社区提供最先进的数据中心所需的一切。

 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.