Data Management and Statistical Core

数据管理与统计核心

• 批准号: 10590699
• 负责人: Steven H. Belle
• 金额: $ 30.86万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10590699
• 关键词: Address; Aging; Alzheimer' s Disease; Alzheimer' s disease risk; Ancillary Study; Area; Authorization documentation; Biological Markers; Biology; Caregivers; Clinical; Clinical Research; Collaborations; Communication; Consultations; Data; Data Analyses; Data Collection; Data Protection; Data Reporting; Data Set; Database Management Systems; Databases; Dementia; Development; Disease; Education; Epidemiology; Etiology; Faculty; Fostering; Goals; Health Personnel; Human Resources; Interdisciplinary Study; International; Leadership; Maintenance; Measures; Mentors; Methodology; Mission; Modeling; Neuropsychology; Paper; Participant; Pathogenesis; Patients; Persons; Pharmaceutical Preparations; Prevention; Public Health; Quality Control; Registries; Reporting; Research; Research Design; Research Personnel; Role; Schedule; Symptoms; System; Tablet Computer; Training; Training Programs; Training and Education; Universities; Work; analytical method; authority; career; cohort; computerized; data management; data registry; data sharing; database design; database query; database structure; effective therapy; experience; innovation; interest; meetings; member; neurogenetics; neuroimaging; neuropathology; neuropsychiatry; next generation; recruit; statistics; user-friendly; web site; working group

Data Management and Statistics Core: Summary/Abstract: The Data Management and Statistics Core (DMSC) facilitates research and collaborations with local Alzheimer’s disease (AD) researchers, national initiatives and others by providing high quality data management and methodological support. The University of Pittsburgh Alzheimer's Disease Research Center (PITT-ADRC) has compiled a database that includes information collected longitudinally about more than 4700 participants collected over 30 years. The DMSC works with PITT-ADRC personnel to maximize data completeness and accuracy having developed, and continuing to maintain and enhance, systems with sophisticated quality control measures for capturing and computerizing data and for facilitating the work of Core and, ultimately, Developmental project personnel. Portions of these data are shared with the National Alzheimer’s Coordinating Center and with approved recipients of PITT-ADRC data. DMSC personnel also support authorized users of the PITT-ADRC database by preparing reports, creating datasets used for analyses, providing programming and analytical consultation and support, and serving as Honest Broker to obtain protected data. DMSC personnel are available for assistance and collaborations concerning data management, study design, study implementation, data analysis, and data presentation. To contribute to the educational mission of the PITT-ADRC, and to encourage wider dissemination of PITT- ADRC data, the DMSC continues to develop the SHared Alzheimer's REgistry (SHARE) dataset that includes a subset of the extensive data about PITT-ADRC participants and the user-friendly system that allows users with approved access to query the SQL Server database to facilitate and expand its use. The DMSC has initiated a Methodology Working Group (MWG) that serves a training mission and provides a forum for developing and sharing innovative methodologies relevant to AD research. This working group includes senior-level and early career methodologists, with a broad range of statistical expertise, from across the University of Pittsburgh who are interested in AD research, several of whom have utilized PITT-ADRC data. The overarching goal of the MWG is to foster further methodologic work, to expand DMSC abilities to collaborate with ADRC researchers, and to serve as a hub for training and mentoring the next generation of AD researchers. The MWG model promotes multidisciplinary research with the capability to further our understanding of AD etiology and pathogenesis to help drive the development of effective therapies.

数据管理和统计核心：摘要/摘要： 数据管理和统计核心 （DMSC）促进与当地阿尔茨海默病（AD）研究人员、国家研究人员的研究和合作 通过提供高质量的数据管理和方法支持来开展倡议和其他活动。大学 匹兹堡阿尔茨海默病研究中心 (PITT-ADRC) 编制了一个数据库，其中包括 30 年来纵向收集的 4700 多名参与者的信息。动态管理中心 与 PITT-ADRC 人员合作，最大限度地提高已开发数据的完整性和准确性，并且 继续维护和增强具有复杂质量控制措施的系统，用于捕获和 将数据计算机化，并促进核心人员以及最终开发项目人员的工作。 这些数据的部分内容与国家阿尔茨海默病协调中心和经批准的机构共享 PITT-ADRC 数据的接收者。 DMSC 人员还支持 PITT-ADRC 数据库的授权用户 通过准备报告、创建用于分析的数据集、提供编程和分析咨询 和支持，并作为诚实的经纪人来获取受保护的数据。 DMSC 人员可用于 有关数据管理、研究设计、研究实施、数据的协助和合作 分析和数据呈现。 为 PITT-ADRC 的教育使命做出贡献，并鼓励更广泛地传播 PITT- ADRC 数据，DMSC 继续开发共享阿尔茨海默病注册 (SHARE) 数据集，其中包括 有关 PITT-ADRC 参与者的大量数据的子集以及允许用户使用的用户友好系统 具有查询 SQL Server 数据库的批准访问权限，以促进和扩展其使用。 DMSC 成立了一个方法工作组 (MWG)，负责培训任务并提供 开发和分享与 AD 研究相关的创新方法的论坛。该工作组 包括来自各个领域的高级和早期职业方法学家，具有广泛的统计专业知识 对 AD 研究感兴趣的匹兹堡大学，其中一些人已经使用了 PITT-ADRC 数据。 MWG 的总体目标是促进进一步的方法学工作，扩展 DMSC 的能力 与 ADRC 研究人员合作，并作为培训和指导下一代 AD 的中心 研究人员。 MWG 模型促进多学科研究，能够进一步推进我们的研究 了解 AD 病因和发病机制有助于推动有效疗法的开发。