Core C: Data Management and Statistics Core

摘要 该ADRC有全面而苛刻的翻译研究目标，为此，数据 管理和统计(DMS)核心必须能够高效地收集、验证、集成和派生 这意味着来自复杂的数据数组。我们的关键问题包括诊断、临床特征、自然病史、 基因型别和表型、生物标记物、临床病理关系和联系之间的相互作用 大脑变化和神经行为障碍之间的关系只能通过复杂的和 全面的数据结构，并在一支有凝聚力的专家统计教员团队的支持下。至 促进这一进程，DMS核心将整合许多创新工具，使我们的 研究人员更好地识别和整合通过该ADRC收集的高质量多层次数据，同时 将数据与加州大学旧金山分校及其他地方的其他资源联系起来。从历史上看，加州大学旧金山分校的记忆和衰老中心 (Mac)在开发神经病学专用数据管理和分析系统方面显示出国家领先地位 整合了来自各种来源的丰富信息，以便更好地了解病因和 治疗痴呆症和促进翻译研究。这个DMS核心将是独一无二的 通过向ADRC网络提供以下工具，对NIH的关键目标产生全国影响 旨在促进和加快调查人员的研究进程。最后，我们组装了一个 来自流行病学和生物统计学系的一支优秀的教员团队将提供高质量的 为我们的调查人员提供分析性咨询和教育。总体而言，这款DMS核心将结合我们中心的坚实 20年来为出色的数据管理和UDS提交实践奠定了基础，并增强了工具 多层次神经信息的表示和分析，以及经验丰富的统计 指导，使研究人员能够有效地对患者的复杂模式和关联进行建模。我们 我构建了这个核心，确保这些示范性的数据管理和研究方法有效 在该ADRC的多学科核心之间进行协调，使调查人员能够自由地追查 将对痴呆症的研究和治疗产生最大的影响。

ABSTRACT This ADRC has comprehensive and demanding translational research objectives, for which the Data Management and Statistical (DMS) Core must be able to efficiently collect, validate, integrate, and derive meaning from a complex array of data. Our key questions about diagnosis, clinical features, natural history, interactions between genotype and phenotype, biomarkers, clinico-pathological relationships, and connections between brain changes and neurobehavioral disturbances can only be addressed with sophisticated and comprehensive data structures, and with the support of a cohesive team of expert statistical faculty. To facilitate this process, the DMS Core will incorporate a number of innovative tools that will enable our researchers to better identify and integrate high-quality multilevel data collected through this ADRC, while linking data with other resources at UCSF and beyond. Historically, the UCSF Memory and Aging Center (MAC) has shown national leadership in developing neurology-specific data management and analytic systems that integrate a wealth of information from a variety of sources in order to better understand the etiology and treatment of dementia syndromes and promote translational research. This DMS Core would be uniquely positioned to make a national impact on key NIH goals by making tools available to the ADRC network that are designed to facilitate and accelerate the research process for investigators. Finally, we have assembled a superb team of faculty from the Epidemiology and Biostatistics Department who will provide high quality analytic consultation and education for our investigators. Overall, this DMS Core will combine our center’s solid two-decade foundation of excellent data management and UDS submission practices, with tools enhancing representation and analysis of multiple levels of neurological information, as well as experienced statistical guidance that allows investigators to effectively model complex patterns and associations in our patients. We have structured this core ensure that these exemplary data management and research methods are effectively coordinated among the multidisciplinary cores of this ADRC, freeing investigators to pursue the answers that will most powerfully impact dementia research and treatment.