Data Management and Statistical Core

数据管理与统计核心

• 批准号: 10439580
• 负责人: Yongzhao Shao
• 金额: $ 43.06万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10439580
• 关键词: Address; Algorithms; Alzheimer' s Disease; Alzheimer' s disease related dementia; Applications Grants; Basic Science; Biological Markers; Brain; Charge; Clinical; Clinical Research; Clinical Trials; Clinical Trials Design; Collaborations; Communities; Computer software; Consultations; Custom; Data; Data Analyses; Data Analytics; Data Set; Data Storage and Retrieval; Databases; Development; Ensure; Evaluation; Genetic; Genomics; Heterogeneity; Impaired cognition; Individual; Informatics; Information Management; Intervention Trial; Maintenance; Measures; Mentors; Methods; Multicenter Studies; Participant; Pilot Projects; Population Research; Process; Proteomics; Randomized; Registries; Reporting; Reproducibility; Research; Research Design; Research Personnel; Research Project Grants; Resolution; Resources; Secure; Services; Source; Specimen; Standardization; Statistical Data Interpretation; Statistical Methods; Statistical Models; Sum; System; Technology; Time; Training; Training Programs; Translational Research; Visualization; Visualization software; algorithmic methodologies; analytical method; cohort; computational platform; data acquisition; data exchange; data management; data sharing; data visualization; data warehouse; design; disease heterogeneity; electronic data; innovation; insight; machine learning method; multidimensional data; neuroimaging; novel; open source; psychosocial; risk prediction model; skills; social media; statistics; synergism; tool; translational impact; translational pipeline; web site

ABSTRACT- DATA MANAGEMENT & STATISTICS (DMS) CORE The Data Management and Statistical (DMS) Core supports the NYU Alzheimer's Disease Research Center (ADRC) and its Cores by providing state-of-the-art data and information management and statistical expertise. The DMS Core aims to provide cutting edge research data management (AIM 1), by providing a customized, comprehensive and scalable data acquisition and management platform in REDCap and provide scalable technologies like Tableau for data visualization. The core will maintain unique linkages between the participants and their data captured from other core's activities and from various collaborative/ affiliated studies, including incorporating the global unique identifier (GUID) to streamline data collaborations between centers. DMS will continue its inter core collaboration by, maintaining the database in collaboration; maintaining a dynamic registry; maintaining standardized brain measures in the database; providing informatics and statistical collaboration for the BMS core. The core will continue to provide scalable storage solutions and be the conduit to share data with researchers and collaborators through latest tools and new systems. DMS will also interface with NACC to implement data acquisition forms, submit UDS data in a timely manner and be swiftly handle query resolution. DMS will continue to develop and implement innovative tools to incorporate various data sets including the vast “-omics” data and also make the tools available to the wider research community through our website and social media. The DMS Core also aims to provide state-of-the-art statistical support (AIM 2) and promote scientific rigor, by providing comprehensive statistical collaboration and consultation to all the Cores at NYU ADRC across the entire spectrum of the translational research process of study design, conduct, analysis, visualization, interpretation, and reporting of clinical, translational, and population-based research. DMS core will develop innovative study designs and new statistical methods to address emerging research directions undertaken by ADRC investigators that include developing new statistical models and methods to deal with latent heterogeneities in ADRD, effective risk prediction models with variable selection, novel machine learning methods for high dimensional data, and open platform computing algorithms and R packages. Finally, the DMS Core mentors center affiliated young investigators and trainees in addition to promoting scientific rigor with extensive statistical support, facilitating collaboration and optimizing resources with cutting edge data management, and magnifying the impact of findings by promoting reproducible research and data sharing.

摘要-数据管理和统计(DMS)核心 数据管理和统计(DMS)核心支持纽约大学阿尔茨海默病研究中心 通过提供最先进的数据和信息管理及统计专门知识，亚洲及太平洋区域研究中心(ADRC)及其核心。 DMS核心旨在提供尖端研究数据管理(AIM 1)，通过提供定制、 RedCap中全面且可扩展的数据采集和管理平台，并提供可扩展的 像Tableau这样的数据可视化技术。核心将在参与者之间保持独特的联系 以及从CORE的其他活动和各种协作/附属研究中获取的数据，包括 整合全球唯一标识符(GUID)以简化中心之间的数据协作。DMS将 继续其核心间协作，办法是：在协作中维护数据库；维护动态登记册； 在数据库中维护标准化的大脑测量；提供信息学和统计协作 BMS的核心。核心将继续提供可扩展的存储解决方案，并成为共享数据的渠道 研究人员和合作者通过最新的工具和新系统。DMS还将与NACC对接以 执行数据采集表，及时提交UDS数据，并迅速处理查询解析。 DMS将继续开发和实施创新工具，以纳入各种数据集，包括大量 -“组学”数据，并通过我们的网站和社交网站向更广泛的研究社区提供这些工具 媒体。 DMS核心还旨在提供最先进的统计支持(AIM 2)并促进科学严谨性， 通过向纽约大学ADRC的所有核心提供全面的统计合作和咨询 研究设计、实施、分析、可视化、 临床、翻译和基于人群的研究的解释和报告。DMS核心将会发展 创新的研究设计和新的统计方法，以应对由以下机构承担的新兴研究方向 ADRC调查人员，包括开发新的统计模型和方法来处理潜伏期 ADRD中的异构性、有效的变量选择风险预测模型、新颖的机器学习 用于高维数据的方法，以及开放平台计算算法和R包。最后，DMS 核心导师中心附属的年轻研究人员和受训人员除了通过 广泛的统计支持，利用尖端数据促进协作和优化资源 管理，并通过促进可重复研究和数据共享来扩大研究结果的影响。