Pan-Neurotrauma Data Commons

泛神经创伤数据共享

基本信息

批准号：
10684922
负责人：
ADAM R FERGUSON
金额：
$ 73.76万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-01 至 2026-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10684922
关键词：
Acceleration Adoption Affect Anatomy Animal Model Behavioral Big Data Big Data Methods Brain Central Nervous System Certification Collaborations Common Data Element Communities Complex Controlled Vocabulary Data Data Analyses Data Commons Data Pooling Data Set Dedications Disease Disparate Ecosystem Educational workshop FAIR principles Feedback Functional disorder Future Generations Goals Health Healthcare Heterogeneity Human Impairment Individual Infrastructure Injury International Internet Knowledge Laboratories Licensing Life Cycle Stages Medical Metadata Monitor Multiple Trauma Mus National Institute of Neurological Disorders and Stroke Nervous System Trauma Neurosciences Ontology Oranges Outcome Assessment Outcome Measure Persons Physiology Police Policies Positioning Attribute Predictive Value Prevalence Process Productivity Publication Bias Publications Quality Control Rattus Recovery Recovery of Function Reporting Reproducibility Reproducibility of Results Research Research Personnel Severities Site Spinal Cord Spinal cord injury Standardization Structure Syndrome System Terminology Testing Tissue Expansion Translations Trauma Traumatic Brain Injury Traumatic CNS injury Treatment Efficacy U-Series Cooperative Agreements United States National Institutes of Health Visualization Work advanced analytics body system central nervous system injury clinical implementation clinically relevant community engagement complex data cost dashboard data complexity data format data interoperability data management data mining data quality data repository data resource data reuse data sharing data standards data visualization data wrangling digital object identifier diverse data economic cost economic impact experience experimental study human data improved information framework insight interoperability large scale data neuroinformatics new technology novel novel marker open data open source operation pre-clinical precision medicine preservation productivity loss prospective public repository quality assurance repaired repository skills spinal cord and brain injury success symposium therapeutic development therapeutic evaluation tool translational medicine translational therapeutics trustworthiness virtual laboratory web portal webinar

项目摘要

PROJECT SUMMARY/ABSTRACT Trauma to the central nervous system (CNS: spinal cord and brain) together affect more than 2.5 million people per year in the US, with economic costs of $80 billion in healthcare and loss-of-productivity. Yet, the precise pathophysiological processes impairing recovery remain poorly understood. This lack of knowledge is exacerbated by poor reproducibility of findings in animal models and limits translation of therapeutics across species and into humans. Part of the problem is that neurotrauma is intrinsically complex, involving heterogeneous damage to the central nervous system (CNS), by far the most complex organ system in the body. This results in a multifaceted CNS syndrome reflected across heterogeneous endpoints and multiple scales of analysis. Multi-scale heterogeneity makes traumatic brain injury (TBI) and spinal cord injury (SCI) difficult to understand using traditional analytical approaches that focus on a single endpoint for testing therapeutic efficacy. Single endpoint-testing provides a narrow window into the complex system of changes that describe SCI and TBI. Understanding these disorders involves managing datasets that include high volume anatomy data, high velocity physiology decision-support data, the high variety functional/behavioral data, and assessing correlations among these endpoints. In this sense, neurotrauma is fundamentally a data management problem that involves the classic ‘3Vs of big data’ (volume, velocity, variety). Of these, variety is perhaps the greatest data challenge in neurotrauma research for reproducibility in basic discovery, cross-species translation, and ultimately clinical implementation. For the proposed Data Repositories Cooperative Agreement (U24) we will build on our prior work managing data variety in the Open Data Commons for SCI (odc-sci.org) and TBI (odc-tbi.org) to make neurotrauma data Findable, Accessible, Interoperable, and Reusable (FAIR). The milestone-driven aims will: 1) further develop and harden our data lifecycle management system with end-to-end data version control and provenance tracking, data certification, and data citation; 2) develop in-cloud data dashboards and visualizations to monitor data quality and to promote data reuse, exploration, and hypothesis generation; 3) establish a pan- neurotrauma (PANORAUMA) data commons that brings together separate data assets currently supported by our multi-PI (MPI) team by aligning a patchwork of governance structures and policies. The goal of the proposed project is to develop a pooled repository for preclinical discovery, reproducibility testing, and translational discovery both within and across neurotrauma types. Our team is well-positioned to execute this project given that we developed some of the largest multicenter, multispecies neurotrauma data repositories of neurotrauma to-date (N>10,000 subjects 20,000 curated variables); the Neuroscience Information Framework (NIF); data terminologies and standards for these fields (MIASCI, NIFSTD); and policy work with the International Neuroinformatics Coordinating Facility (INCF). The PANORAUMA cooperative agreement is highly responsive to PAR-20-089, leveraging early successes in SCI and TBI data sharing to improve quality and sustainability.

项目概要/摘要中枢神经系统（CNS：脊髓和大脑）创伤共同影响了超过 250 万人美国每年在医疗保健和生产力损失方面造成的经济损失高达 800 亿美元。人们对损害恢复的病理生理过程仍然知之甚少。动物模型研究结果的重复性差加剧了这一问题，并限制了治疗方法的转化部分问题在于神经创伤本质上很复杂，涉及到。对中枢神经系统（CNS）的异质性损伤，中枢神经系统是迄今为止体内最复杂的器官系统。这导致了多方面的中枢神经系统综合症，反映在不同的终点和多个尺度上。多尺度异质性使得创伤性脑损伤（TBI）和脊髓损伤（SCI）难以分析。了解使用专注于单一终点的传统分析方法来测试治疗效果。单一终点测试为了解描述 SCI 和 SCI 的复杂变化系统提供了一个狭窄的窗口。 TBI。了解这些疾病涉及管理数据集，其中包括大量解剖数据、高速度生理学决策支持数据、多种功能/行为数据以及评估相关性从这个意义上说，神经创伤本质上是一个涉及数据管理的问题。经典的“大数据 3V”（数量、速度、多样性）其中，多样性可能是最大的数据挑战。在神经创伤研究中，确保基础发现、跨物种翻译和最终临床的可重复性对于拟议的数据存储库合作协议（U24），我们将在之前的基础上进行实施。致力于管理 SCI (odc-sci.org) 和 TBI (odc-tbi.org) 开放数据共享中的数据多样性，以便神经创伤数据可查找、可访问、可互操作和可重复使用 (FAIR) 里程碑驱动的目标将：1)。通过端到端数据版本控制进一步开发和强化我们的数据生命周期管理系统来源跟踪、数据认证和数据引用；2) 开发云中数据仪表板和可视化监控数据质量并促进数据重用、探索和假设生成；3）建立一个泛数据模型；神经创伤（PANORAUMA）数据共享，汇集了当前支持的单独数据资产我们的多 PI (MPI) 团队通过调整拼凑的治理结构和政策来实现拟议的目标。该项目旨在开发一个用于临床前发现、可重复性测试和转化的汇集存储库鉴于神经创伤类型内部和跨神经创伤类型的发现，我们的团队处于有利位置来执行该项目。我们开发了一些最大的多中心、多物种神经创伤数据存储库迄今为止（N>10,000 名受试者 20,000 个策划变量）；神经科学信息框架 (NIF) 数据；这些领域的术语和标准（MIASCI、NIFSTD）以及与国际组织的政策工作；神经信息学协调机构 (INCF) 的 PANORAUMA 合作协议反应迅速。 PAR-20-089，利用 SCI 和 TBI 数据共享的早期成功来提高质量和可持续性。