The Center for SUDEP Research (CSR), Informatics and Data Analytics Core (IDAC)

SUDEP 研究中心 (CSR)、信息学和数据分析核心 (IDAC)

• 批准号: 9330248
• 负责人: Guo-Qiang ZHANG
• 金额: $ 62.48万
• 依托单位: UNIVERSITY OF KENTUCKY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-02-27 至 2019-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9330248
• 关键词: Address; Algorithmic Analysis; Algorithms; American; Animals; Award; Big Data; Biochemical Genetics; Biological; Blood Pressure; Brain; Brain Stem; Clinical; Clinical Research; Cloud Computing; Collection; Computers; Consultations; Coupling; Custom; Data; Data Analytics; Data Collection; Data Set; Databases; Development; Electrocardiogram; Electroencephalography; Electrophysiology (science); Enrollment; Epilepsy; Event; Feedback; Formalin; Freezing; Funding; Galvanic Skin Response; Generations; Goals; Imagery; Informatics; Institution; Intervention; Modality; Motion; National Institute of Neurological Disorders and Stroke; Online Systems; Ontology; Oxygen; Patients; Performance; Phenotype; Prevention; Prevention Measures; Process; Registries; Research; Research Design; Research Infrastructure; Research Personnel; Resources; Respiration; Rest; Risk; Role; Scientist; Seizures; Services; Signal Transduction; Sleep; Statistical Data Interpretation; Structure; Surveys; System; Systems Biology; Systems Integration; Technology; Terminology; Translational Research; Visual; Work; base; clinical translation; cohort; computerized tools; crosslink; data management; data mining; data resource; demographics; design; empowered; evidence base; genetic resource; improved; informatics infrastructure; member; mortality; neuropathology; open source; phenotypic data; prospective; public health relevance; quality assurance; satisfaction; signal processing; sudden unexpected death in epilepsy; tool; user-friendly; webinar

 DESCRIPTION (provided by applicant): Project Summary The goal of SUTRA (SUDEP Translational Research Alliance) Center Without Walls is to better understand the brainstem mechanisms responsible for SUDEP and elucidate the role of cortical influences thereon using a data-driven, systems-biology-based approach. This understanding requires a strategy that shares research resources and infrastructure to make good and efficient use of a spectrum of prospectively collected data encompassing clinical, electrophysiological, biochemical, genetic, and neuropathological domains. A critical aspect of SUTRA is the process and infrastructure facilitating the sharing of clinical and research data across centers. In our NINDS-funded center- planning award, Prevention and Risk Identification of SUDEP Mortality (PRISM; 1P20- NS076965), a team of world-class epileptologists, computer scientists, biomedical informaticians and data analytics experts has developed an informatics infrastructure for sharing research data, using the Multi-Modality Epilepsy Data Capture and Integration System (MEDCIS). The main goal of this Informatics and Data Analytics U01 Core (IDAC) is to build on the paradigm-changing progress already achieved through PRISM's MEDICS infrastructure and expand and broaden the sharing and utilization of research resources among SUTRA partners. With access to biospecimen materials and alliances with stakeholder organizations including Dup15q, the North American SUDEP Registry, Courtagen, GW Pharma, and CURE, SUTRA will continuously boost materials and data collection. IDAC will promote and facilitate SUDEP research by expanding an integrated clinical and translation data resource for epilepsy; providing coordinated services and support for SUTRA members; empowering investigator with web-based cohort search interface for data mining and hypothesis generation; data analytics and statistical support for in-depth analyses of multi-modal data collected in the shared and expanding SUTRA Data Repository.

 项目描述(申请人提供)：项目摘要无墙Sutra(SUDEP翻译研究联盟)中心的目标是更好地了解负责SUDEP的脑干机制，并使用数据驱动的系统生物学方法阐明皮质影响对SUDEP的作用。这种理解需要一种共享研究资源和基础设施的战略，以良好和有效地利用一系列预期收集的数据，包括临床、电生理、生化、遗传和神经病理领域。Sutra的一个关键方面是促进跨中心共享临床和研究数据的流程和基础设施。在我们由NINDS资助的中心规划奖-SUDEP死亡率的预防和风险识别(PRISM；1P20-NS076965)中，一个由世界级癫痫专家、计算机科学家、生物医学信息学家和数据分析专家组成的团队利用多模式癫痫数据捕获和集成系统(MEDCIS)开发了一个用于共享研究数据的信息基础设施。这个信息学和数据分析U01核心(IDAC)的主要目标是在PRISM的MEDAS基础设施已经取得的改变范式的进展的基础上再接再厉，并扩大和扩大Sutra合作伙伴之间研究资源的共享和利用。通过获得生物检疫材料，以及与Dup15q、北美SUDEP注册中心、Courtgen、GW Pharma和CURE等利益攸关方组织的联盟，Sutra将继续促进材料和数据的收集。IDAC将通过扩展癫痫的综合临床和翻译数据资源，促进和促进SUDEP研究；为Sutra成员提供协调的服务和支持；为研究人员提供基于网络的队列搜索界面，以进行数据挖掘和假设生成；数据分析和统计支持，以深入分析共享和扩展的Sutra数据库中收集的多模式数据。