Data Core

数据核心

• 批准号: 10021465
• 负责人: Yorghos Tripodis
• 金额: $ 34.38万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-30 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10021465
• 关键词: Address; Alzheimer' s Disease; Alzheimer' s disease related dementia; Amyotrophic Lateral Sclerosis; Autopsy; Basic Science; Biometry; Boston; Brain; Chronic; Clinical; Clinical Data; Clinical Research; Collaborations; Common Data Element; Computer software; Consult; Control Groups; Custom; Data; Data Analyses; Data Collection; Data Element; Data Management Resources; Data Security; Data Set; Data Sources; Databases; Development; Diagnosis; Digital Libraries; E-learning; Ensure; Evaluation; Faculty; Feedback; Framingham Heart Study; Funding; Genetic; Goals; Information Systems; Infrastructure; Late Effects; Leadership; Manuscripts; Measures; Methodology; Methods; Mission; Modeling; National Institute of Neurological Disorders and Stroke; Nervous System Trauma; Online Systems; Pathology; Persons; Phase; Post-Traumatic Stress Disorders; Preparation; Procedures; Process; Publications; Quality Control; Recording of previous events; Research; Research Design; Research Personnel; Resource Sharing; Resources; Scientific Advances and Accomplishments; Security; Selection Bias; Site; Slide; Statistical Data Interpretation; Syndrome; System; Systems Development; Techniques; Tissues; Training; Translational Research; Traumatic Brain Injury; United States National Institutes of Health; Universities; University resources; Work; chronic traumatic encephalopathy; dashboard; data dissemination; data harmonization; data infrastructure; data management; data quality; data sharing; data standards; data visualization; data warehouse; database design; design; head impact; interoperability; medical schools; neuropathology; non-genetic; novel; quality assurance; recruit; research study; sound; standardize measure; structured data; tool; user-friendly

The proposed U54 application will examine the association of repetitive head impacts (RHI) and traumatic brain injury (TBI) with Alzheimer's disease (AD) and related dementias (ADRD), chronic traumatic encephalopathy (CTE), and other neuropathologies, and their resulting clinical syndromes. The primary mission of the Data Coordinating Core (DCC) is to provide leadership and expertise in all phases of data management and statistical analyses, from development of project infrastructure to publication of results. This collaborative assistance encompasses data sharing, development of the analytic plan, database design, implementation of data collection and quality control procedures, technical support, creation of analytic datasets, statistical analyses, and manuscript preparation. Our overall aim is to provide procedural consistency and efficiency of study-wide systems, ultimately producing the highest quality data and analysis for use by study researchers and affiliates. DCC will harmonize data from the 8 novel brain banks: 6 at Boston University (BU): VA-BU-CLF or UNITE, Chronic Effects of Neurotrauma Consortium (CENC), Alzheimer's Disease Center (BUADC), VA Amyotrophic Lateral Sclerosis (ALS), VA Post-Traumatic Stress Disorder (PTSD) and Framingham Heart Study (FHS) brain banks and 2 at ISMMS : Late Effects of TBI (LETBI) and AD Research Center (ADRC). The main objectives of the DCC are to maintain an integrated, user-friendly data management system and to implement procedures to ensure the highest quality data, security, and integrity; to provide active and integral collaboration in methodological design and statistical analysis to all supported project investigators; and to provide systems and support for resource sharing across all study sites and collaborators. To accomplish these goals, we aim 1) to provide centralized data infrastructure using integrated, user-friendly systems for sharing of information, data, and analysis tools. 2) to provide centralized data management using integrated, user-friendly systems for sharing of information, data, and analysis tools; 3) to disseminate integrated datasets to accelerate the impact of the study's research objectives; 4) to provide high-level biostatistical expertise for all study's projects.

拟议的 U54 应用程序将检查重复性头部撞击 (RHI) 与创伤性脑部的关联 损伤（TBI）、阿尔茨海默病（AD）和相关痴呆（ADRD）、慢性创伤性脑病 (CTE) 和其他神经病理学及其产生的临床综合征。数据的首要使命 协调核心（DCC）是在数据管理和统计的所有阶段提供领导和专业知识 分析，从项目基础设施的开发到结果的发布。此次合作援助 包括数据共享、分析计划的制定、数据库设计、数据收集的实施 和质量控制程序、技术支持、分析数据集的创建、统计分析，以及 手稿准备。我们的总体目标是提供整个研究范围内的程序一致性和效率 系统，最终产生最高质量的数据和分析，供研究人员和附属机构使用。 DCC 将协调来自 8 个新型脑库的数据： 波士顿大学 (BU) 的 6 个：VA-BU-CLF 或 UNITE， 神经创伤联盟 (CENC)、阿尔茨海默病中心 (BUADC)、VA 肌萎缩症的慢性影响 侧索硬化症 (ALS)、VA 创伤后应激障碍 (PTSD) 和弗雷明汉心脏研究 (FHS) 大脑 银行和 ISMMS 的 2 个：TBI 的后期影响 (LETBI) 和 AD 研究中心 (ADRC)。主要目标 DCC 将维护一个集成的、用户友好的数据管理系统，并实施程序 确保最高质量的数据、安全性和完整性；提供积极和全面的合作 为所有受支持的项目研究人员提供方法设计和统计分析；并提供系统和 支持所有研究中心和合作者之间的资源共享。为了实现这些目标，我们的目标是 1) 使用集成的、用户友好的系统提供集中式数据基础设施，以共享信息、数据、 和分析工具。 2）使用集成的、用户友好的共享系统提供集中的数据管理 信息、数据和分析工具； 3）传播综合数据集以加速影响 研究的研究目标； 4) 为所有研究项目提供高水平的生物统计专业知识。