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中文摘要
翻译
摘要 数据管理和分析核心(DMAC)与中心的所有组件密切合作, 高质量的数据管理和分析,以支持中心的研究目标,探索发展和以后的, 生命早期暴露于PAH和金属对生命健康的影响。DMAC将支持管理和 通过开发和部署中心范围的数据资产,在中心内集成数据资产 库存和具体到每个项目(和核心进行数据收集)全面的数据管理 计划、数据质量计划和统计分析计划。DMAC将提供最先进的数据科学和 根据需要为项目和核心提供统计分析支持。DMAC将开发本体支持的搜索工具, 促进中心内部对项目结果的探索,并将开发和部署创新的数据可视化 和搜索工具,帮助研究人员(中心内外)探索中心数据资产和潜力 与其他相关研究的联系。
英文摘要
Abstract The Data Management and Analysis Core (DMAC) works closely with all Center components to provide high quality data management and analysis in support of Center research goals of exploring developmental and later- life health effects of early life exposures to PAH’s and metals. The DMAC will support management and integration of data assets across the Center through development and deployment of a Center-wide Data Asset Inventory and specific to each project (and cores conducting data collection) a comprehensive Data Management Plan, Data Quality Plan, and Statistical Analysis Plan. DMAC will provide state of the art data science and statistical analysis support to projects and cores as needed. DMAC will develop ontology-backed search tools to facilitate within-Center exploration of project findings and will develop and deploy innovative data visualization and search tools to help researchers (within the Center and beyond) explore Center data assets and potential connections with other relevant research.
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Reproducibility and Robustness of Dimensionality Reduction
  • 批准号:
    9977198
  • 项目类别:
  • 资助金额:
    $58.25万
  • 财政年份:
    2017
  • 负责人:
    AMY H HERRING
  • 依托单位:
Reproducibility and Robustness of Dimensionality Reduction
  • 批准号:
    10215526
  • 项目类别:
  • 资助金额:
    $56.98万
  • 财政年份:
    2017
  • 负责人:
    AMY H HERRING
  • 依托单位:
Bayesian Methods for High-Dimensional Epidemiologic Data
Bayesian Methods for High-Dimensional Epidemiologic Data