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 - 数据管理与统计（DMS）核心 数据管理和统计（DMS）核心支持NYU阿尔茨海默氏病研究中心 （ADRC）及其核心通过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中的全面，可扩展的数据获取和管理平台，并提供可扩展的 诸如Tableau的技术可视化。核心将保持参与者之间的独特联系 以及他们从其他核心活动以及各种协作/会员研究中捕获的数据，包括 将全球唯一标识符（GUID）纳入中心之间的数据协作。 DMS会 通过协作维护数据库来继续其间核心协作；保持动态注册表； 在数据库中维持标准化的大脑测量；为信息提供信息和统计合作 BMS核心。核心将继续提供可扩展的存储解决方案，并成为与 研究人员和合作者通过最新的工具和新系统。 DMS还将与NACC接口到 实施数据采集表，及时提交UDS数据，并迅速处理查询分辨率。 DMS将继续开发和实施创新工具，以合并包括疫苗在内的各种数据集 “ -omics”数据，还通过我们的网站和社会使更广泛的研究社区提供工具 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， 通过向NYU ADRC的所有核心提供全面的统计合作和咨询 研究设计，行为，分析，可视化的翻译研究过程的全部范围 临床，转化和基于人群的研究的解释和报告。 DMS核心将发展 创新的研究设计和新的统计方法，以解决由 ADRC调查人员包括开发新的统计模型和方法来处理潜在 ADRD中的异质性，有效的风险预测模型，具有可变选择，新颖的机器学习 高维数据的方法以及打开平台计算算法和R软件包。最后，DMS 核心导师中心会员年轻调查员和学员，除了促进科学严谨性 广泛的统计支持，支持协作并通过最先进数据优化资源 管理和通过促进可重复的研究和数据共享来放大发现的影响。