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: 9233336
• 负责人: Guo-Qiang ZHANG
• 金额: $ 76.94万
• 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/9233336
• 关键词: Center; SUDEP; Research; CSR; Informatics

 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.

 描述（由适用提供）：项目摘要Sutra（SUDEP转化研究联盟）中心没有墙壁的目标是更好地了解负责SUDEP的脑干机制，并使用基于系统生物学的方法来阐明其在其上的作用。这种理解需要一种共享研究资源和基础设施的策略，以良好，有效地利用一系列涉及临床，电生理，生化，遗传学和神经病理学领域的数据。佛经的一个关键方面是支持整个中心临床和研究数据共享的过程和基础设施。在我们的NINDS资助的中心计划奖，预防和风险识别SUDEP死亡率（PRISM； 1P20-NS076965）中，一个世界一流的癫痫学家，计算机科学家，生物医学信息信息和数据分析专家的团队开发了用于使用MustiS Sollat​​ion solanitation Eplitation Epnation Cystration Caption（Musk ossectation Caption）的信息基础结构的基础结构。这种信息学和数据分析U01 Core（IDAC）的主要目标是建立在棱镜的医师基础设施已经取得的改变范式的进展的基础上，并扩展和扩大和扩大Sutra Partners研究资源的共享和利用。随着与利益相关者组织的生物测量材料和联盟，包括DUP15Q，北美SUDEP注册中心，Courtagen，GW Pharma和Cure，Sutra将继续促进材料和数据收集。 IDAC将通过扩大癫痫综合临床和翻译数据资源来促进和促进SUDEP研究；为Sutra成员提供协调的服务和支持；通过基于Web的队列搜索界面赋予研究人员，以进行数据挖掘和假设生成；数据分析和统计支持对共享和扩展Sutra数据存储库中收集的多模式数据的深入分析。