DATA COLLECTION AND DATA MANAGEMENT CORE

Experience Corps试验是一个项目，旨在评估老年人和 他们在巴尔的摩市的学校做志愿者，通过老龄化社会中的生育模式。项目 在P01中，将从两个相关的随机对照试验中提取数据-其中一个随机对老年人进行 参加体验团(EC)计划或达到控制条件(涉及低强度转介 志愿者活动)，其他随机学校接受或不接受EC计划。项目1、3和4将 使用老年人随机试验的数据来评估对身体和认知的假设益处 功能(项目1和3)以及社会和心理功能(项目4)。项目2将专注于 关于学校结果，而项目5更广泛地关注从一个 社会视角。数据收集和数据管理核心将满足所有五个人的需求 项目。我们的目的是促进协调、高效地收集用于分析的高质量数据。主修 具体目标是：1)协调数据收集需求并设计工具，使之能够有效和 准确收集数据；2)收集所有计划项目的数据并进行数据录入；3)管理IRB 记录并准备程序的协议、同意和手册；4)创建、提供 对项目范围的数据库系统进行技术支持和质量控制；5)获得 电子学校和项目记录；6)提取用于分析的数据集，并创建符合HIPAA标准的 用于数据共享的文件。

The Experience Corps Trial is a program project to evaluate the potential benefits to older adults and to the Baltimore City schools in which they volunteer, through a model of generativity in an aging society. Projects within the P01 will draw data from two related, randomized controlled trials - one randomizing older adults to participate in the Experience Corps (EC) program or to a control condition (involving referral for low intensity volunteer activity), the other randomizing schools to receive the EC program or not. Projects 1, 3, and 4 will use data from the randomized trial of older adults to evaluate hypothesized benefits to physical and cognitive functioning (Projects 1 and 3), as well as social and psychological functioning (Project 4). Project 2 will focus on school outcomes, while Project 5 focuses more broadly on evaluating program cost-effectiveness from a societal perspective. The Data Collection and Data Management Core will serve the needs of all five projects. Our intention is to promote coordinated, efficient collection of high-quality data for analysis. Major specific aims are to: 1) Coordinate data collection needs and design instruments that allow efficient and accurate collection of data; 2) Collect data for all program projects and perform data entry; 3) Manage IRB documentation and prepare the protocol, consent, and manual of procedures; 4) Create, provide technological support for, and perform quality control on a program-wide database system; 5) Obtain electronic school and program records; 6) Extract data sets for analysis and create HIPAA-compliant de-identified files for data sharing.