Data Integration Core

数据集成核心

• 批准号: 10555808
• 负责人: JOHN H. HOLMES
• 金额: $ 26.81万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2028-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10555808
• 关键词: Accounting; Address; Adherence; Affect; Area; Big Data; Bioinformatics; Biomedical Research; Biometry; Caring; Chronic Disease; Clinical; Clinical Data; Clinical Research; Collaborations; Collection; Communities; Continuous Positive Airway Pressure; Data; Data Analyses; Data Collection; Data Management Resources; Data Reporting; Data Science; Data Set; Data Sources; Data Storage and Retrieval; Development; Diagnosis; Disease; Economic Burden; Electronic Health Record; Ensure; Epidemiologist; Epidemiology; FAIR principles; Foundations; Generations; Genetic Markers; Genotype; Goals; Image; Individual; Informatics; Information Systems; Infrastructure; Knowledge; Lead; Leadership; Machine Learning; Managed Care; Medical; Medicine; Methods; Mining; Modeling; Molecular; Obstructive Sleep Apnea; Patients; Persons; Physiological; Play; Prevention; Process; Program Research Project Grants; Protocols documentation; Research Personnel; Resolution; Sleep; Surveys; Technology; Terminology; Training; Validation; Work; adverse outcome; biomedical informatics; burden of illness; circadian biology; clinical care; clinical database; cohort; complex data; computerized data processing; cost; data acquisition; data integration; data management; data resource; database design; digital health; diverse data; economic cost; experience; genome sciences; health data; heterogenous data; informatics infrastructure; member; molecular marker; multimodality; open source; personalized diagnostics; personalized medicine; prevent; programs; remote monitoring; tool

ABSTRACT Obstructive sleep apnea (OSA) is a common chronic disorder affecting over 1 billion people worldwide. Undiagnosed and untreated OSA is also associated with a substantial economic burden, accounting for an estimated annual cost of $149.6 billion. Given the significant disease burden and economic costs associated with undiagnosed and untreated OSA, a robust clinical research framework is needed to address the prevention, diagnosis, and treatment of OSA. The P4 Medicine approach to Obstructive Sleep Apnea that drives this overall Program Project aims to conduct scientific studies that predict who will develop the disorder, prevent OSA and its adverse consequences, and personalize diagnoses, therapies, and clinical care. In order to study OSA through the Project in this Program, diverse and complex data from a variety of data sources, including the electronic health record (EHR), daily continuous positive airway pressure (CPAP) usage and adherence information, genetics, and molecular biomarkers must be studied. To effectively answer the scientific questions posed by each Project, we have constructed a Data Integration Core (Core C) to collect, integrate, and analyze information derived from these varied data sources. Our team will be led by Director Dr. John Holmes, an established medical informatician and epidemiologist with over 35 years of experience in database design and implementation, development of information systems for clinical research, and analytic collaborations with biostatisticians and clinical researchers. Core C will be co-led by co-Directors Dr. Danielle Mowery, a clinical informatician with expertise in data science, machine learning, and clinical research informatics, and Dr. Diego Mazzotti, a sleep medicine researcher with specific training in biomedical informatics. The Core C leadership and support staff bring decades of experience in clinical research, sleep medicine, data science, informatics, digital health, genome science, epidemiology, and biostatistics. Collectively, Core C will provide data collection and management resources, as well as development and incorporation of cutting-edge approaches to data integration and analysis to support all Projects. We will also implement strategies related to all stages of clinical research data management, including clinical database mining, integration of heterogeneous data sources, and data representation according to Findable, Accessible, Interoperable and Reusable (FAIR) principles, making all tools and approaches open-source and available to the biomedical research community at large.

抽象的 阻塞性睡眠呼吸暂停 (OSA) 是一种常见的慢性疾病，影响着全球超过 10 亿人。 未经诊断和治疗的 OSA 还会带来巨大的经济负担，导致 预计年度成本为 1,496 亿美元。鉴于重大的疾病负担和相关的经济成本 对于未经诊断和未经治疗的 OSA，需要一个强大的临床研究框架来解决预防、 OSA 的诊断和治疗。 P4 Medicine 治疗阻塞性睡眠呼吸暂停的方法推动了这一整体发展 项目旨在进行科学研究，预测谁会患上这种疾病，预防 OSA 和 其不良后果，并个性化诊断、治疗和临床护理。为了学习 OSA 通过本计划中的项目，来自各种数据源的多样化且复杂的数据，包括 电子健康记录 (EHR)、每日持续气道正压通气 (CPAP) 使用率和依从性 必须研究信息、遗传学和分子生物标志物。有效回答科学问题 针对每个项目，我们构建了一个数据集成核心（Core C）来收集、集成和分析 从这些不同的数据源中获得的信息。我们的团队将由主任 John Holmes 博士领导，他是 知名医学信息学家和流行病学家，在数据库设计和数据库方面拥有超过 35 年的经验 临床研究信息系统的实施、开发以及与以下机构的分析合作 生物统计学家和临床研究人员。核心 C 将由临床医生 Danielle Mowery 博士共同领导 具有数据科学、机器学习和临床研究信息学专业知识的信息学家，迭戈博士 Mazzotti 是一位睡眠医学研究员，接受过生物医学信息学方面的专门培训。核心 C 领导力 和支持人员在临床研究、睡眠医学、数据科学、信息学、 数字健康、基因组科学、流行病学和生物统计学。总的来说，Core C 将提供数据收集 和管理资源，以及尖端数据方法的开发和整合 集成和分析以支持所有项目。我们还将实施与临床各阶段相关的策略 研究数据管理，包括临床数据库挖掘、异构数据源集成，以及 根据可查找、可访问、可互操作和可重用 (FAIR) 原则的数据表示，使所有 工具和方法是开源的，可供整个生物医学研究界使用。