Core B: Facility/Service Cores/Core 2: Data Management and Statistics and Communi

数据管理，统计和社区建模（DSM）核心将保持一个集中的， 包含所有暴露、生物标志物、人体测量和健康相关问卷的综合数据库 哥伦比亚儿童环境健康中心（CCCEH）过去十年收集的数据 北方曼哈顿队列的725名儿童和母亲，包括广泛的额外信息， 将在拟议的项目下获得有关这些儿童的信息。DSM核心将作为一个中心， 数据管理、质量保证、队列跟踪和协调、统计规划、数据 对所有三个项目进行分析和出版物审查。DSM核心还将为以下方面提供技术支持： 由行政核心组织的翻译和数据共享倡议。为了确保 为了保持对队列观察的连续性，DSM核心将继续与行政部门密切合作， 核心通过保持一个国家的最先进的互动主题跟踪信息系统分开，允许 直接、安全地访问广泛的联系信息和收集的信息类型指标 以往的后续行动，并允许直接更新目前的信息。此外，DSM核心将 协调在综合地理信息系统中建立一个复杂的社区一级数据库，包括 该系统将作为多层次建模的平台。 为了确保存储的队列研究信息的最高质量，并促进 队列数据的统计分析和翻译活动，DSM核心将：1）保持一个 全面的质量保证计划; 2）建立并确保遵守标准化的协议， 参与项目和实验室的电子数据提交; 3）使用SIR/XS关系数据库 管理软件，以创建一个自我记录的中央数据库， 具有适当内容、格式和内部文件的统计文件，用于统计分析; 4） 建立协调所有项目出版工作和出版物审查的机制。

The Data Management, Statistics and Community Modeling (DSM) Core will maintain a centralized, Integrated database containing all exposure, biomarker, anthropometric, and health-related questionnaire data collected in the past ten years on the Columbia Center for Child Environmental Health (CCCEH) northern Manhattan cohort of 725 children and mothers, including the extensive additional information that will be acquired about these children under the proposed projects. The DSM Core will serve as a central resource for data management, quality assurance, cohort tracking and coordination, statistical planning, data analysis and publication review for all three projects. The DSM Core will also provide technical support for the translational and data sharing Initiatives organized by the Administrative Core. In order to ensure continuity of observation of the cohort, the DSM Core will continue to work closely with the Administrative Core by maintaining a state-of-the-art interactive subject tracking Information system separate that allows direct, secure access to extensive contact information and Indicators of Information types collected In previous followups, and allows direct updating of current information. In addition, the DSM Core will coordinate the establishment of a sophisticated community-level database in an integrated GIS, Including subject residence information; this system will serve as a platform for multi-level modeling. In order to ensure the highest quality of stored cohort research information, and to facilitate the availability of cohort data for statistical analysis and translational activities, the DSM core will: 1) maintain a comprehensive quality assurance program; 2) establish and insure adherence to standardized protocols for electronic data submission from participating projects and laboratories; 3) use SIR/XS relational database management software to create a self-documenting central database capable of producing analytic-ready statistical files with appropriate content, format and internal documentation for statistical analysis; 4) establish mechanisms for coordinating all project publication efforts and publication review.