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）促进研究和与当地阿尔茨海默病（AD）研究人员的合作， 通过提供高质量的数据管理和方法支持，开展了多项举措和其他活动。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 纵向收集了超过4700名参与者在30年内收集的信息。DMSC 与PITT-ADRC人员合作，最大限度地提高数据的完整性和准确性， 继续维持和加强具有先进质量控制措施的系统， 计算机化数据，并促进核心和最终发展项目人员的工作。 这些数据的一部分与国家阿尔茨海默氏症协调中心和经批准的 PITT-ADRC数据的接收者。DMSC人员还支持PITT-ADRC数据库的授权用户 通过编写报告，创建用于分析的数据集，提供方案编制和分析咨询， 和支持，并作为诚实的经纪人获得受保护的数据。DMSC人员可用于 关于数据管理、研究设计、研究实施、数据 分析和数据展示。 促进PITT-ADRC的教育使命，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氏症登记（SHARE）数据集，包括 关于PITT-ADRC参与者的广泛数据的子集和用户友好的系统， 用经批准的访问权限查询SQL Server数据库，以方便和扩大其使用范围。 DMSC已经启动了一个方法工作组（MWG），为培训使命服务， 一个发展和分享与AD研究相关的创新方法的论坛。这个工作组 包括高级和早期职业方法学家，具有广泛的统计专业知识， Pittsburgh大学对AD研究感兴趣的人，其中一些人已经使用了PITT-ADRC 数据MWG的首要目标是促进进一步的方法学工作，扩大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模型促进了多学科研究，并有能力进一步推动我们的研究。 了解AD的病因和发病机制，以帮助推动有效疗法的发展。