National Sleep Research Resource (NSRR)

国家睡眠研究资源 (NSRR)

• 批准号: 8730710
• 负责人: Susan S. Redline
• 金额: $ 147.62万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-05 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8730710
• 关键词: Address; Adult; Algorithms; Architecture; Area; Biochemical; Biochemical Markers; Brain; Breathing; Cardiovascular Diseases; Cardiovascular system; Cataloging; Catalogs; Child; Chronic; Clinical; Clinical Investigator; Clinical Protocols; Clinical Trials; Cohort Studies; Collection; Communities; Comorbidity; Computers; Data; Data Analyses; Data Collection; Data Quality; Data Set; Data Storage and Retrieval; Databases; Diabetes Mellitus; Disease; Disease susceptibility; Documentation; Electrocardiogram; Electroencephalography; Ensure; Epidemiologist; Etiology; European; Frequencies; Funding; Generations; Genetic Markers; Genetic Predisposition to Disease; Goals; Health; Heart Rate; Heart failure; Human; Hypertension; Imagery; Improve Access; Incidence; Informatics; Investments; Knowledge; Laboratories; Libraries; Link; Lung diseases; Maps; Mediator of activation protein; Medicine; Metabolic Diseases; Metadata; Methodology; Methods; Metric; Morbidity - disease rate; National Heart, Lung, and Blood Institute; Neurocognitive; Online Systems; Ontology; Outcome; Output; Participant; Pathogenesis; Physiological; Physiology; Play; Polysomnography; Population; Predisposition; Privacy; Procedures; Process; Pulmonary Heart Disease; Reading; Reporting; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Retrieval; Risk; Risk Factors; Role; Sampling; Scientific Advances and Accomplishments; Scientist; Secure; Security; Semantics; Signal Transduction; Site; Sleep; Sleep Apnea Syndromes; Sleep Disorders; Slow-Wave Sleep; Software Engineering; Stroke; Structure; Subgroup; System; Terminology; Time; Training; United States National Institutes of Health; Variant; Work; cloud based; cohort; computerized tools; data format; data integration; data sharing; design; disorder risk; electronic data; meetings; mortality; neurophysiology; novel; obesity risk; open source; programs; quality assurance; repository; research study; sensor; signal processing; statistics; tool; web interface

DESCRIPTION (provided by applicant): Since 1994, NIH has supported the standardized collection of polysomnography (PSG) studies as part of landmark multi-center studies which have used well-defined methods for data collection and quality assurance. Across studies, information on disease risk factors and outcomes, cardiovascular and neurocognitive function, and biochemical marker data, are available for children and adults representing diverse backgrounds. These data could serve as an invaluable national resource, providing opportunities to engage the scientific community, including trainees, in efforts to discover predictive bio-physiological signals for disease incidence and progression and to address critical questions regarding disease susceptibility and subgroup differences not possible using data from single cohorts. Improved access to those data would add value to already funded projects, ensuring maximal and enduring impact. Optimal use of such data requires the systematic organization and structuring of these data and access to procedures and computational tools for easy but secure access and curation of well-defined data subsets. The NHLBI National Sleep Research Resource (NSRR) aims to meet these compelling needs, thus leveraging the NIH's investments in the collection of sleep data in well characterized cohort studies and clinical trial to create a unique national resource of reliably-scored, well-annotated research PSGs from many major NHLBI cohorts or clinical trials (~ 50,000 sleep studies). The NSRR also will include: a) an electronic database of polysomnography data (raw signals, scored annotations, and summary sleep metrics); b) quantitative metrics of heart rate and EEG signals; b) linked data on clinical, physiological and biochemical parameters; c) a tool set to allow the user to search and access de-identified research data using a secure, cloud platform; d) an open-source suite of tools for offline analyses for signal processing, file structure editing, data harmonization and statistic generation; and e) user support for resource usage. NSRR will be a scalable and expandable resource constructed by capitalizing on major advances in informatics, developed with leading-edge agile software engineering methodology, user-centered interface design and an ontology-driven architecture. RELEVANCE: The creation of a central library of well-defined sleep studies linked to clinical and physiological data will transform data sharing approaches across the scientific community, enhancing the ability of researchers to address critical questions regarding the role of sleep disorders in the etiology of chronic health conditions, such as cardiovascular disease and identify subgroups of the population at greatest risk for sleep disorders and their related co-morbidities.

描述（由申请人提供）：自1994年以来，NIH一直支持多导睡眠图（PSG）研究的标准化收集，作为具有里程碑意义的多中心研究的一部分，这些研究使用了明确的数据收集和质量保证方法。在研究中，关于疾病风险因素和结局、心血管和神经认知功能以及生化标志物数据的信息可用于代表不同背景的儿童和成人。这些数据可作为宝贵的国家资源，提供机会让包括受训人员在内的科学界参与，努力发现疾病发病率和进展的预测性生物生理信号，并解决有关疾病易感性和亚组差异的关键问题，而使用单一群组的数据是不可能的。更好地获取这些数据将增加已获资助项目的价值，确保产生最大和持久的影响。这些数据的最佳使用需要系统地组织和结构化这些数据，并访问程序和计算工具，以便轻松但安全地访问和管理定义明确的数据子集。NHLBI国家睡眠研究资源（NSRR）旨在满足这些迫切的需求，从而利用NIH在良好表征的队列研究和临床试验中收集睡眠数据的投资，从许多主要的NHLBI队列或临床试验（约50，000项睡眠研究）中创建可靠评分，注释良好的研究PSG的独特国家资源。NSRR还将包括：a）多导睡眠图数据的电子数据库（原始信号、评分注释和概要睡眠度量）; B）心率和EEG信号的定量度量; B）关于临床、生理和生化参数的链接数据; c）允许用户使用安全的云平台搜索和访问去识别研究数据的工具集; d）一套用于信号处理、文件结构编辑、数据统一和统计数据生成的离线分析的开放源码工具;以及e）对资源使用的用户支持。NSRR将是一个可扩展和可扩展的资源，通过利用信息学的重大进步，采用领先的敏捷软件工程方法，以用户为中心的界面设计和本体驱动的架构开发。 相关性：建立一个与临床和生理数据相关的明确睡眠研究的中央图书馆将改变整个科学界的数据共享方法，提高研究人员解决有关睡眠障碍在慢性健康状况病因学中的作用的关键问题的能力，如心血管疾病，并确定睡眠障碍及其相关并发症风险最大的人群亚组。