DATA COLLECTION AND DATA MANAGEMENT CORE

体验团试验是一个项目，以评估潜在的好处，老年人和 巴尔的摩市的学校，他们在志愿者，通过一个模型的繁殖在老龄化社会。项目 在P01中，将从两项相关的随机对照试验中提取数据-一项随机选择老年人， 参加体验团（EC）计划或控制条件（涉及低强度转诊） 志愿者活动），其他学校随机接受或不接受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将重点 项目5更广泛地侧重于评估项目的成本效益， 社会视角。数据收集和数据管理核心将满足所有五个方面的需求 项目我们的目的是促进协调、有效地收集高质量数据以供分析。主要 具体目标是：（1）协调数据收集需要，设计工具， 准确收集数据; 2）收集所有项目的数据并进行数据录入; 3）管理IRB 文件和准备方案，同意书和程序手册; 4）创建，提供 为全方案数据库系统提供技术支助并进行质量控制; 电子学校和项目记录; 6）提取数据集进行分析，并创建符合HIPAA的去标识化数据集 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.