Data Management and Statistical Core

数据管理与统计核心

• 批准号: 9921988
• 负责人: Yongzhao Shao
• 金额: $ 46.31万
• 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/9921988
• 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 （ADRC）及其核心提供最先进的数据和信息管理以及统计专业知识。 DMS Core 旨在通过提供定制的、 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 Tableau 等数据可视化技术的核心将在参与者之间保持独特的联系。 以及从其他核心活动和各种合作/附属研究中获取的数据，包括 合并全球唯一标识符 (GUID) 以简化 DMS 之间的数据协作。 通过协作维护数据库来继续其核心间的协作； 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。 研究人员和合作者还将通过最新的工具和新系统与 NACC 进行交互。 落实数据采集表单，及时提交UDS数据，快速处理查询解析。 DMS 将继续开发和实施创新工具来整合各种数据集，包括大量数据 “-omics”数据，并通过我们的网站和社交媒体向更广泛的研究界提供这些工具 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、 为纽约大学 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、可视化等整个转化研究过程 将开发临床、转化和基于人群的研究的解释和报告。 创新的研究设计和新的统计方法来解决新兴研究方向 ADRC 调查人员包括开发新的统计模型和方法来处理潜在的问题 ADRD 中的异质性、具有变量选择的有效风险预测模型、新颖的机器学习 高维数据的方法，开放平台计算算法和R包最后是DMS。 核心导师中心附属的年轻研究者和实习生除了促进科学严谨性 广泛的统计支持，利用尖端数据促进协作并优化资源 管理，并通过促进可重复的研究和数据共享来放大研究结果的影响。