CORE--Data Management and Statistic

数据管理和生物统计(DMS)核心将维护一个集中、综合的数据库，其中包含过去八年在曼哈顿北部哥伦比亚儿童环境健康中心(CCCEH)700名儿童和母亲的队列中收集的所有暴露、生物标记物、哮喘和其他与健康相关的问卷数据，包括根据拟议的发现项目将获得的有关这些儿童的大量额外信息。数据管理系统核心将作为高质量数据管理、队列跟踪和协调、统计规划、数据分析和出版的中心资源 对所有四个项目进行审查。DMS核心还将为行政核心组织的翻译和数据共享举措提供技术支持。 CCCEH曼哈顿北部队列数据库目前包括来自多个数据来源的从出生到5岁的信息，包括将在发现项目下扩大的对暴露的重复测量，以及将首次收集队列儿童的许多新措施。为了确保观察队列的连续性，新闻部核心将与行政核心密切合作，提供一个独立于研究数据库的最先进的互动跟踪信息系统，以便直接、安全地获取以前后续行动中收集的广泛联系信息和信息类型指标，并允许直接更新最新信息。 为了确保DISCOVE倡议中存储的队列研究信息的最高质量，并便利提供用于统计分析和翻译活动的队列数据，新闻部核心将：1)维持一个全面的质量保证方案；2)为参与项目和实验室提交的电子数据建立标准化协议；3)使用SIR2002关系数据库管理软件创建一个自我记录的中央数据库，并快速生成具有适当内容、格式和统计分析内部文件的便于分析的统计文件；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 and Biostatistics (DMS) Core will maintain a centralized, integrated database containing all exposure, biomarker, asthma, and other health-related questionnaire data collected in the past eight years on the Columbia Center for Child Environmental Health (CCCEH) northern Manhattan cohort of 700+ children and mothers, including the extensive additional information that will be acquired about these children under the proposed DISCOVER project. The DMS Core will serve as a central resource for high quality data management, cohort tracking and coordination, statistical planning, data analysis and publication review for all four projects. The DMS Core will also provide technical support for the translational and data sharing initiatives organized by the Administrative Core. The CCCEH northern Manhattan cohort database currently includes information from birth through age 5 from multiple data sources, including repeated measurement of exposures that will be extended under the DISCOVER project, as well as many new measures that will be collected on cohort children for the first time. In order to ensure continuity of observation of the cohort, the DMS Core will work closely with the Administrative Core by providing a state-of-the-art interactive tracking information system separate from the research database 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 order to ensure the highest quality of stored cohort research information in the DISCOVER initiative, and to facilitate the availability of cohort data for statistical analysis and translational activities, the DMS core will: 1) maintain a comprehensive quality assurance program; 2) establish standardized protocols for electronic data submission from participating projects and laboratories; 3) use SIR2002 relational database management software to create a self-documenting central database and to quickly produce 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.