Data Management and Analysis Core

抽象数据管理和分析核心 杜克大学自闭症卓越中心(ACE)的总体目标是使用翻译的数字健康和 解决对更有效的自闭症筛查工具的迫切需求的计算方法，客观结果 措施，以及可用于自闭症儿童临床试验的基于大脑的生物标记物。数据 管理和分析核心(DMAC)将支持协调高质量的数据收集、管理 以及对Duke ACE项目和核心的分析。这些项目和核心旨在应用共享、切割- 开发有效的数字健康工具用于自闭症早期检测和治疗的边缘计算研究方法 结果监测和发现新的基于大脑的自闭症生物标记物。DMAC将在该中心的 有能力通过监督科学标准的一致应用和方法的严谨来实现其目标。 DMAC将确保清晰、可复制的采集协议、后处理分析方法和数据 跨广泛测量领域的管理和存储，包括脑电图学、 计算机视觉分析测量，神经认知能力，语言/社会交流，适应行为， 照顾者与儿童互动的模式，以及诊断评估。DMAC将使用合理的数据 安全的信息基础设施内的采购标准和创新分析，旨在促进 协同的ACE项目和核心之间的协作。DMAC的主要目标是：(1)监督 设计和实施获取所有研究相关措施的实验方案；(2)提供 所有项目和核心的数据获取和管理支持；以及(3)提供支持和协助 通过对中心项目的分析，并与调查人员合作，进行统计分析，以解决 项目和核心的具体目标。DMAC还将及时向国家数据中心提交数据 自闭症研究数据库。该核心还将向中心领导层、执行人员提供定期报告 委员会、外部咨询委员会和个别调查员与参与者招募和 保留、时间表、交付成果、方案偏差、质量控制指标、科学数据和外联 传播活动。通过为所有项目提供这些基本的数据管理和分析功能 和核心，DMAC将确保Duke ACE达到其目标。

ABSTRACT – Data Management and Analysis Core The overall goal of the Duke Autism Center of Excellence (ACE) is to use a translational digital health and computational approach to address the critical need for more effective autism screening tools, objective outcome measures, and brain-based biomarkers that can be used in clinical trials with young autistic children. The Data Management and Analysis Core (DMAC) will support coordination of high-quality data collection, management, and analysis across the Duke ACE Projects and Cores. These Projects and Cores aim to apply shared, cutting- edge computational research methods to develop effective digital health tools for early autism detection and outcome monitoring and discover novel brain-based autism biomarkers. DMAC will play a key role in the Center’s ability to achieve its goals by overseeing consistent application of scientific standards and methodological rigor. DMAC will ensure clear, replicable acquisition protocols, post-processing analytic approaches, and data management and storage across a wide range of measurement domains, including electroencephalography, computer vision analytic measures, neurocognitive ability, language/social communication, adaptive behaviors, patterns of caregiver-child interaction, and diagnostic assessments. DMAC will employ well-justified data acquisition standards and innovative analytics within a secure informatics infrastructure designed to facilitate collaboration among the synergistic ACE Projects and Cores. The primary aims of DMAC are to (1) oversee the design and implementation of experimental protocols for acquisition of all study-related measures; (2) provide data acquisition and management support across all Projects and Cores; and (3) provide support and assistance with analyses of Center Projects, and in collaboration with investigators, conduct statistical analyses to address the specific aims of Projects and Cores. DMAC also will provide timely submissions of data to the National Database for Autism Research. This Core will also provide regular reports to the Center leadership, Executive Committee, External Advisory Committee, and individual investigators related to participant recruitment and retention, timelines, deliverables, protocol deviations, quality control indicators, scientific data, and outreach and dissemination activities. By providing these essential data management and analysis functions for all Projects and Cores, DMAC will ensure that the Duke ACE reaches its goals.