DATA MANGEMENT AND STATISTICS CORE

数据管理和统计核心

• 批准号: 8468478
• 负责人: WEI ZHU
• 金额: $ 34.01万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 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/8468478
• 关键词: Aging; Alzheimer' s Disease; Applications Grants; Area; Biostatistics Core; Calendar; Clinical; Clinical Management; Clinical Trials; Collaborations; Comprehension; Computer Systems; Computer software; Computers; Consultations; Country; Data; Data Analyses; Data Base Management; Data Security; Data Set; Data Sources; Databases; Dementia; Education; Ensure; Experimental Designs; Feedback; Fostering; Funding; Future; Hand; Healthcare; Human Resources; Individual; Internet; Intranet; Lead; Link; Medical center; Memory; Methodology; Methods; Online Systems; Paper; Problem Solving; Procedures; Protocols documentation; Research; Research Infrastructure; Research Personnel; Research Project Grants; Running; Sampling; Schedule; Scientist; Secure; Services; Site; Statistical Methods; Students; Update; Visual; Writing; data exchange; data management; data sharing; design; flexibility; interest; meetings; neuroimaging; neuropathology; novel; psychosocial; sample collection; statistics; tool; user-friendly

The Data Management and Biostatistics Core (Data Core) performs data management and analysis for all six fellow cores (Administrative, Clinical, Neuropathology, Neuroimaging, Psychosocial, Education), and for individual researchers affiliated with the ADC. The Data Core maintains all data collected by the NYU ADC in a centralized database, transfers data to the National Alzheimer's Coordinating Center (NACC) to create a common database for all ADC's across the country, and offers consultation and hands-on help in experimental design and statistical analysis to all collaborating investigators in the NYU ADC. The rapid increase in the size, the type and the complexity of aging and dementia related data demands that the Data Core expand its functions in order to (1) facilitate information exchange via the Internet, and (2) introduce, apply and develop novel statistical methods for comprehensive data analysis. Data Core Specific Aims are: 1. Continue to provide our traditional data management and statistical consultation services which include managing and updating the centralized Center database, offering consultation on experimental design and statistical analysis, and maintaining close collaboration with the NACC in the implementation and utilization of the uniform data set (UDS) for all ADC's. 2. Further develop and maintain a secure Web-based database, conforming to the institutional standards set by NYU, for multi-user on-line information exchange within the Center and between Centers, NACC and other collaborators. We are upgrading our Visual FoxPro database server to a modern web-based health care management software (clinical database plus clinical management) ¿ Velos, sponsored by NYU. 3. Actively initiate, develop, participate in and direct statistical analyses within and between our fellow cores/centers. Data Core analysts (including student trainees) are assigned to fellow cores to increase mutual interactions and understanding, and foster close collaborations in the design of ADC related studies and the analysis of ADC data. Data Core leader conducts biweekly meetings with Core analysts and ADC researchers interested in collaborative analysis. We also actively participate in research paper writing. 4. Educate Center affiliated researchers on database utilization and related statistical analysis methods. This has been and will continuously be achieved through a comprehensive internet site with detailed education topics and on-line help as well as monthly statistics seminar. 5. Actively participate in as well as lead grant applications to further increase Data Core funding levels.

数据管理和生物统计核心（数据核心）对所有六个同级核心（管理、临床、神经病理学、神经影像、心理社会、教育）以及附属于 ADC 的个人研究人员进行数据管理和分析。数据核心维护收集的所有数据。由纽约大学 ADC 存储在一个集中数据库中，将数据传输到国家阿尔茨海默病协调中心 (NACC)，为全国所有 ADC 创建一个通用数据库，并提供咨询和实际帮助纽约大学 ADC 的所有合作研究人员的实验设计和统计分析。 老龄化和痴呆症相关数据规模、类型和复杂性的增加要求数据核心扩展其功能，以便 (1) 促进通过互联网进行信息交换，以及 (2) 引入、应用和开发新的统计方法综合数据分析的具体目标是： 1. 继续提供我们传统的数据管理和统计咨询服务，包括管理和更新中心数据库，提供实验设计和统计分析咨询，并在统一数据集的实施和使用方面与NACC保持密切合作（ UDS）适用于所有 ADC。 2. 进一步开发和维护一个安全的基于网络的数据库，符合纽约大学制定的机构标准，用于中心内部以及中心、NACC 和其他合作者之间的多用户在线信息交换。我们正在升级 Visual FoxPro 数据库。服务器到基于网络的现代医疗保健管理软件（临床数据库加临床管理） Velos，由纽约大学赞助。 3. 积极发起、开发、参与和指导我们的核心/中心内部和之间的统计分析。数据核心分析师（包括学生实习生）被分配到核心，以增加相互互动和理解，并促进设计中的密切合作。 ADC 相关研究和 ADC 数据分析。我们还积极参与研究论文写作。 4. 对中心附属研究人员进行数据库利用和相关统计分析方法的教育。这已经并将继续通过一个包含详细教育主题和在线帮助以及每月统计研讨会的综合互联网网站来实现。 5. 积极参与并主导资助申请，以进一步提高数据核心资助水平。