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学核心（数据核心）对ALLL执行数据管理和分析 六个核心（行政，临床，神经病理学，神经影像学，心理社会，教育），以及 隶属于ADC的个体研究人员。 一个集中式数据库，将数据传输到国家阿尔茨海默氏症中心（NACC）以创建一个 全国所有ADC的通用数据库，并提供咨询和咨询帮助 对NYU ADC中所有合作研究者的实验设计和统计分析。 增加大小，衰老和痴呆相关数据的大小，类型和复杂性要求数据 核心扩展其功能，以（1）通过Internet促进信息交换，（2）介绍， 应用和开发新的统计方法以特定于数据核心。 1。继续提供我们的传统数据管理服务 管理和更新集中式中心数据库，提供有关实验设计的咨询和 统计分析，并与NACC保持紧密合作和使用 所有ADC的统一数据集（UDS）。 2。进一步开发和维护一个安全的基于Web的数据库，符合Internital标准 由NYU设置，用于中心内以及中心之间的多用户在线信息交换 其他合作者。 护理管理软件（临床数据库以及临床管理）-NYU赞助的Velos。 3。积极地启动，开发，参与和直接在我们的研究员之间和之间进行直接统计分析 核心/中心。 相互互动和理解，并促进了与ADC相关研究设计的密切合作 以及ADC数据的分析。 研究人员对合作分析感兴趣。 4。教育中心附属研究人员有关数据库利用和相关统计分析方法的教育。 这已经并且将不断实现 教育主题和在线帮助以及每月的统计研讨会。 5。积极参与并有助于赠款，以进一步提高数据核心资金水平。