Data Management and Analysis Core

数据管理与分析核心

• 批准号: 10227716
• 负责人: SCOTT N COMPTON
• 金额: $ 33.26万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-07 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10227716
• 关键词: Adaptive Behaviors; Address; Adverse event; Advisory Committees; Attention deficit hyperactivity disorder; Behavior; Behavioral; Biological Markers; Brain; Caregivers; Child; Collaborations; Communication; Communities; Computer Vision Systems; Data; Data Analyses; Data Analytics; Data Collection; Data Coordinating Center; Data Reporting; Data Set; Databases; Detection; Development; Doctor of Philosophy; Early Diagnosis; Early treatment; Electroencephalography; Ensure; Equipment; Eye; Faculty; Generations; Goals; Individual; Knowledge; Language; Leadership; Manuals; Measurement; Measures; Methodology; Methods; Monitor; Neurocognitive; Parent-Child Relations; Patient Recruitments; Patient Self-Report; Pattern; Phase; Play; Policies; Procedures; Protocols documentation; Quality Control; Quickset; Reporting; Research; Research Personnel; Research Project Grants; Role; Secure; Security; Standardization; Statistical Data Interpretation; Structure; Symptoms; System; Testing; Time; TimeLine; Training; Work; autism spectrum disorder; autistic children; comorbidity; data acquisition; data cleaning; data exchange; data management; data pipeline; data quality; data submission; design; experience; file format; gaze; improved; informatics infrastructure; innovation; neurophysiology; novel; operation; outreach; participant retention; quality assurance; recruit; relating to nervous system; social communication; synergism; tool; visual tracking

ABSTRACT – Data Management and Analysis Core The Duke Autism Center of Excellence will bring together leading experts in autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) to conduct innovative, coordinated research aimed at better understanding and treating young children with ASD who have co-occurring ADHD symptoms. The Data Management and Analysis Core will play a key role in the Center's ability to achieve its goals by overseeing the consistent application of scientific standards and methodological rigor for data collection, processing, analytics, and sharing. We will employ well-justified data acquisition standards and innovative analytics within a secure informatics infrastructure designed to facilitate collaboration among the synergistic Duke ACE Center projects and cores. The primary aims of the Data Management and Analysis Core are to (1) oversee the design and implementation of experimental protocols for acquisition of all study-related measures; (2) provide state-of-the-art data acquisition and management support across all projects and cores; (3) oversee the generation of all derived variables, including post-processing of relevant neurophysiology and other biomarker measures; (4) conduct statistical analyses of study data to address the specific aims of each project and core; and (5) facilitate novel cross-project analyses and discoveries. As data are acquired, this Core will provide timely submissions of data to the National Database for Autism Research. The Data Management and Analysis Core will provide regular reports to the Center leadership, Executive Committee, external advisory committees, and individual investigators related to participant recruitment and retention, timelines, milestones, deliverables, protocol deviations, adverse events, quality control indicators, scientific data, and outreach and dissemination activities. By providing these essential data management and analysis functions for all projects and cores, the Data Management and Analysis Core will ensure that the Duke Autism Center of Excellence reaches its goals of discovering new information that will improve early detection and treatment of young children with comorbid ASD and ADHD and disseminating that information to the community for its greatest impact.

摘要 - 数据管理和分析核心 杜克自闭症卓越中心将汇集自闭症谱系障碍领先的领先专家 （ASD）和注意力缺陷多动障碍（ADHD）进行创新的，协调的研究针对 更好地理解和治疗患有同时发生多动症症状的ASD的幼儿。 数据管理和分析核心将在中心实现其目标的能力中发挥关键作用 监督科学标准和方法论严格对数据收集的一致应用， 处理，分析和共享。我们将采用完善的数据获取标准和创新性 安全信息基础设施中的分析，旨在促进协同的协作 杜克王牌中心项目和核心。数据管理和分析核心的主要目的是（1） 监督实验方案的设计和实施，以获取所有与研究相关的措施； （2）在所有项目和核心中提供最先进的数据获取和管理支持； （3）监督 所有派生变量的产生，包括相关神经生理学和其他相关的后期处理 生物标志物措施； （4）进行研究数据的统计分析以解决每个项目的具体目标 和核心； （5）促进新颖的跨项目分析和发现。随着数据的获取，此核心将 将数据及时提交给国家数据库进行自闭症研究。数据管理和 分析核心将为中心领导，执行委员会，外部咨询提供定期报告 委员会以及与参与招聘和保留，时间表，里程碑，相关的个人调查人员 可交付成果，协议出发，不良事件，质量控制指标，科学数据和外展和外展 传播活动。通过为所有项目提供这些基本数据管理和分析功能 和核心，数据管理和分析核心将确保杜克自闭症卓越中心 达到发现新信息的目标，这些信息将改善对年轻人的早期检测和治疗 患有ASD和ADHD合并的孩子，并将这些信息传播给社区最大 影响。