Data Management and Statistical Core (DMS)

数据管理和统计核心 (DMS)

• 批准号: 9922629
• 负责人: ARTHUR W TOGA
• 金额: $ 44.22万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9922629
• 关键词: Alzheimer disease prevention; Alzheimer' s Disease; Alzheimer’s disease biomarker; Apolipoprotein E; Biological Markers; Biometry; Blood; Brain; Clinical; Clinical Research; Collection; Communities; Consult; Consultations; Data; Data Analyses; Data Collection; Database Management Systems; Databases; Dementia; Development; Diagnosis; Down Syndrome; Enrollment; Ensure; Environment; Etiology; Evaluation; Faculty; Frontotemporal Dementia; Frontotemporal Lobar Degenerations; Funding; Genetic; Genotype; Image; Image Analysis; Informatics; Information Systems; Infrastructure; Institutes; International; Leadership; Link; Longitudinal Studies; Manuscripts; Measures; Methodology; Mission; Nature; Online Systems; Participant; Pathogenesis; Phenotype; Preparation; Preventive Medicine; Research; Research Design; Research Personnel; Resource Informatics; Resources; Sampling; Scientist; Services; Standardization; Statistical Data Interpretation; Statistical Models; System; Tauopathies; Time; Tissue Sample; Training and Education; clinical trial analysis; complex data; computing resources; data dissemination; data management; design; education research; experience; genome wide association study; image archival system; imaging genetics; informatics tool; large scale data; longitudinal design; multidimensional data; multimodal data; multimodality; neuroimaging; neuropathology; statistics; success

Abstract: Data Core The Data Management and Statistical Core will provide informatics and statistics support for ADRC related dementia related research. The multimodal nature of data collected to investigate the etiology, pathogenesis, diagnosis, treatment, and prevention of AD requires robust informatics, data management and statistical approaches. Specifically, we will provide for: standardized collection of local assessments, scales and enrollment status, de-identifying, storing and tracking neuroimaging data, web-based systems for the databasing, protection, tracking and access of all data to qualified and authenticated scientists. We will ensure timely and accurate data entry to NACC related UDS and neuropathology databases and provide biostatistical consulting to ADRC investigators in the design, coordination and analysis of ADRC-related projects, including development projects. We will establish connections and coordinate with both local and national efforts to share and exchange well curated and comprehensively described data. Finally, we will provide education and training in design, statistical models and informatics in coordination with the ORE core. Existing strengths of our Core include data management and biostatistical resources embedded within the USC Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) and the Department of Preventative Medicine. We have strong leadership by investigators involved in many of the national and global AD research related efforts and possess the resources necessary to insure success in our core.

摘要：数据核心 数据管理和统计核心将提供信息学和统计支助 用于ADRC相关痴呆症的相关研究。收集到的数据的多模式性质 调查AD的病因、发病机制、诊断、治疗和预防需要强大的 信息学、数据管理和统计方法。具体地说，我们将规定： 标准化收集本地评估、量表和登记状态、取消识别、存储 和跟踪神经成像数据，基于Web的系统，用于数据库、保护、跟踪和 将所有数据提供给有资格和经过认证的科学家。我们将确保及时和准确 向NACC相关的UDS和神经病理学数据库输入数据，并提供生物统计学 在与ADRC相关的设计、协调和分析方面向ADRC调查人员提供咨询 项目，包括开发项目。 我们将建立联系，协调地方和国家的努力，分享 并交换经过精心策划和全面描述的数据。最后，我们将提供 与矿场协调进行设计、统计模型和信息学方面的教育和培训 核心。我们核心的现有优势包括数据管理和生物统计资源 嵌入南加州大学马克和玛丽·史蒂文斯神经成像和信息学研究所(INI) 和预防医学部。我们有强大的调查人员领导 参与了许多国家和全球AD研究的相关工作，并拥有 确保我们的核心成功所必需的。