Data Management and Statistical Core

数据管理与统计核心

• 批准号: 9750584
• 负责人: Yongzhao Shao
• 金额: $ 29.15万
• 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 2021-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9750584
• 关键词: Aging; Alzheimer' s Disease; Alzheimer' s Disease Core Center; Applications Grants; Area; Biostatistics Core; Calendar; Clinical; Clinical Management; Clinical Trials; Collaborations; Comprehension; Computer Systems; Computer software; Computers; Consultations; Country; Custom; Data; Data Analyses; Data Base Management; Data Security; Data Set; Data Sources; Databases; Dementia; Education; Ensure; Experimental Designs; Feedback; Fostering; Funding; Future; Hand; Human Resources; Individual; Infrastructure; Instruction; Internet; Intranet; Lead; Link; Medical center; Memory; Methodology; Methods; Modernization; Online Systems; Paper; Problem Solving; Procedures; Protocols documentation; Research; Research Personnel; Research Project Grants; Running; Sampling; Schedule; Scientist; Secure; Services; Site; Statistical Data Interpretation; Statistical Methods; Students; Time; Update; Visual; Writing; central database; clinical database; data exchange; data management; data sharing; design; flexibility; health management; 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（Data Core）为所有 六个核心研究员（行政、临床、神经病理学、神经影像学、社会心理学、教育）， 与ADC相关的个人研究人员。数据核心维护纽约大学ADC收集的所有数据， 一个集中的数据库，将数据传输到国家阿尔茨海默氏症协调中心（NACC）， 全国所有ADC的通用数据库，并提供咨询和实践帮助 实验设计和统计分析，所有合作的研究人员在纽约大学ADC。快速 随着老龄化和痴呆症相关数据的规模、类型和复杂性的增加， 核心扩大其职能，以便（1）促进通过互联网交流信息，（2）介绍， 应用和开发新的统计方法进行全面的数据分析。Data Core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，提供实验设计咨询， 统计分析，并在实施和利用方面与NACC保持密切合作 所有ADC的统一数据集（UDS）。 2.进一步开发和维护一个符合机构标准的安全的网上数据库 由纽约大学设置，用于中心内和中心、NACC和 其他合作者。我们正在升级我们的Visual FoxPro数据库服务器到一个现代化的基于Web的健康 护理管理软件（临床数据库加临床管理）- Velos，由纽约大学赞助。 3.积极发起、发展、参与和指导我们的同事内部和之间的统计分析 核心/中心。数据核心分析师（包括学员）被分配到其他核心，以增加 相互交流和理解，并在ADC相关研究的设计中促进密切合作 以及ADC数据的分析。数据核心主管每两周与核心分析师和ADC举行一次会议 研究人员对协作分析感兴趣。我们还积极参与研究论文的写作。 4.教育中心附属研究人员对数据库的利用和相关的统计分析方法。 这已经并将继续通过一个全面的互联网网站实现， 教育主题和在线帮助以及每月统计研讨会。 5.积极参与并领导拨款申请，以进一步提高Data Core的资助水平。