Data Management and Analysis Core

数据管理与分析核心

• 批准号: 8124938
• 负责人: Subashan Perera
• 金额: $ 14.02万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8124938
• 关键词: Address; Complex; Data; Data Set; Disease; Elderly; Equilibrium; Faculty; Gait; Goals; Healthcare; Human Resources; Measures; Methods; Mission; Population; Process; Quality Control; Research; Resources; Services; Signal Transduction; Source; Technical Expertise; Techniques; Training; data management; novel

The goal of the Data Management and Analysis Core (DMAC) is to continue to provide a central source of expertise and services by a team of faculty and staff who are familiar with the theme and methods used in the Pittsburgh OAIC. Data management and analysis services are most effective when they are provided by personnel intimately familiar with the unique issues of the theme, its special research questions, methods, populations and measures. We will continue to achieve increased efficiencies due to standardized data entry and management and quality control processes across studies. In addition, we provide special expertise in support of analysis of complex data including health care data sets and multisource signals for quantifying gait variability and stability.

数据管理和分析核心（DMAC）的目标是继续提供中心来源 熟悉主题和方法的教职员工团队的专业知识和服务 匹兹堡OAIC。当数据管理和分析服务由 人员非常熟悉主题的独特问题，其特殊研究问题，方法， 人口和措施。由于标准化数据输入，我们将继续提高效率 以及跨研究的管理和质量控制过程。此外，我们还提供了特殊的专业知识 支持复杂数据分析，包括医疗保健数据集和用于量化的多源信号 步态变异性和稳定性。