Data Management and Statistical Core

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核心旨在提供尖端的研究数据管理（AIM 1），通过提供定制的， REDCap中全面、可扩展的数据采集和管理平台，并提供可扩展 Tableau等数据可视化技术。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（Global Unique Identifier，简称REQ）以简化中心之间的数据协作。DMS将 继续开展核心间协作，协作维护数据库;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的系统。DMS还将与NACC进行接口， 执行数据采集表格，及时提交UDS数据，并迅速处理查询解决。 DMS将继续开发和实施创新工具，以纳入各种数据集，包括 “-omics”数据，并通过我们的网站和社交媒体向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、进行、分析、可视化的转化研究过程的整个范围， 临床、转化和基于人群的研究的解释和报告。DMS核心将开发 创新的研究设计和新的统计方法， ADRC调查人员，包括开发新的统计模型和方法，以处理潜在的 ADRD的异质性，变量选择的有效风险预测模型，新型机器学习 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学员，除了促进科学严谨， 广泛的统计支持，促进协作并利用前沿数据优化资源 管理，并通过促进可复制的研究和数据共享来扩大研究结果的影响。

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.