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，影响了全球超过10亿人。 未经诊断和未经处理的OSA也与巨大的经济负担有关 估计每年成本为1496亿美元。鉴于疾病的重大负担和经济成本相关 有了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药物用于阻塞性睡眠呼吸暂停的方法 计划项目旨在进行科学研究，以预测谁将发展疾病，防止OSA和 它的不良后果，个性化诊断，疗法和临床护理。为了学习OSA 通过该计划的项目，来自各种数据源的各种数据，包括 电子健康记录（EHR），每日连续阳性气道压力（CPAP）用法和依从性 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 由每个项目提出，我们构建了一个数据集成核心（核心C）来收集，集成和分析 从这些多样化的数据源得出的信息。我们的团队将由导演约翰·霍尔姆斯（John Holmes）博士领导 建立的医学信息家和流行病学家拥有超过35年的数据库设计经验和 实施，开发临床研究信息系统以及与 生物统计学家和临床研究人员。 Core C将由联合主任Danielle Mowery博士共同领导， 知情人士具有数据科学，机器学习和临床研究信息学专业知识，迭戈博士 Mazzotti，一名睡眠医学研究人员，对生物医学信息学进行了特定培训。核心C领导 支持人员带来数十年的临床研究，睡眠医学，数据科学，信息学的经验， 数字健康，基因组科学，流行病学和生物统计学。总体而言，核心C将提供数据收集 和管理资源，以及开发和合并尖端的数据 集成和分析以支持所有项目。我们还将实施与临床所有阶段有关的策略 研究数据管理，包括临床数据库挖掘，异质数据源集成以及 根据可发现的，可访问，可互操作和可重复使用的（公平）原则的数据表示，使一切 开源工具和方法，可供整个生物医学研究社区使用。