CORE--Data Management

数据管理和分析核心(DMAC)一直是数据管理和分析中心的积极和关键组成部分 城市环境中的山丘性哮喘(CCAUE)8年，在以下方面发挥关键作用：(1)整合 多来源多类型研究数据，(2)确保多个运行的复杂过程 临床研究是无缝的，以及(3)领先的数据讨论和分析结果 调查人员和选管会工作人员在每周数据管理会议上。DMAC有一个深入的 了解所有临床项目的细节，以及管理核心(AC)、暴露 评估核心(EAC)和处理生物标本的实验室。这一知识有助于 DMAC管理所有这些组件之间的数据流的能力。通过池化 可以支持DMAC的资源，可以支持专职工作人员，并且可以继续创建系统 它服务于多种研究的需要，以及AC、EAC和支持的需要 实验室。CCAUE数据管理和分析核心的具体目标包括 以下是： 促进研究方案的制定 作为合作研究人员参与临床研究的开发和实施 提供必要的基础设施，以支持实施和监测临床 研究 与暴露评估核心合作开发数据收集和数据 管理系统 开发数据收集系统 开发和维护数据管理系统 在数据收集和更新过程中确保收集数据的质量 及时提供累积数据的中期和最终数据分析 参与科学报告和手稿的准备工作

The Data Management and Analysis Core (DMAC) has been an active and key component of the Center for hildhood Asthma in the Urban Environment (CCAUE) for 8 years, serving a critical role in: (1) integrating multiple types of study data from multiple sources, (2) ensuring that the complex process of running multiple clinical studies is seamless, and (3) leading discussion of data and analysis results among multiple investigators and EAC staff at the weekly data management meeting. The DMAC has an in-depth understanding of the details of all of the clinical projects, as well as the Administration Core (AC), Exposure Assessment Core (EAC), and laboratories which process the biologic specimens. This knowledge facilitates the DMAC's ability to manage the flow of data that occurs between all of these components. By pooling resources to support the DMAC, dedicated staff can be supported, and systems can continue to be created which serve the needs of multiple studies, as well as the needs of the AC, the EAC, and the support laboratories. The specific aims of the Data Management and Analysis Core for the CCAUE include the following: Facilitate the development of study protocols Participate as collaborating investigator in the development and conduct of the Clinical Studies Provide the infrastructure necessary to support the conduct and monitor performance of the Clinical Studies Collaborate with the Exposure Assessment Core in the development of data collection and data management systems Develop data collection systems Develop and maintain data management systems Ensure quality of the collected data during data collection and update Provide timely interim and final data analysis of accumulated data Participate in the preparation of scientific reports and manuscripts