Pan-Neurotrauma Data Commons

项目摘要/摘要 中枢神经系统(CNS：脊髓和大脑)的创伤总共影响了250多万人 每年在美国，医疗保健和生产力损失的经济成本为800亿美元。然而，准确的 损害恢复的病理生理过程仍然知之甚少。这种知识的缺乏是 在动物模型中发现的重复性差和治疗方法的翻译受到限制而加剧 物种和人类。部分问题是神经创伤本质上是复杂的，涉及 对中枢神经系统(CNS)的异质性损伤，这是迄今为止身体中最复杂的器官系统。 这导致了多方面的CNS综合征，反映在不同的终结点和多个级别的 分析。多尺度异质性使得创伤性脑损伤和脊髓损伤难以 理解使用传统的分析方法，这些方法侧重于测试治疗效果的单一终点。 单端点测试提供了一个狭窄的窗口，可以了解描述SCI和 TBI。要了解这些疾病，需要管理包含大量解剖数据的数据集 速度生理决策支持数据、多种功能/行为数据以及评估相关性 在这些终端中。从这个意义上说，神经创伤基本上是一个数据管理问题，涉及 经典的大数据3V(数量、速度、品种)。其中，多样性可能是最大的数据挑战 在神经创伤研究中，在基本发现、跨物种转换和最终临床方面的重复性 实施。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 在SCI(odc-sor.org)和TBI(odc-tbi.org)的Open Data Commons中管理数据多样性的工作 神经创伤数据可查找、可访问、可互操作和可重复使用(公平)。里程碑驱动的目标将：1) 进一步开发和强化我们的数据生命周期管理系统，提供端到端数据版本控制和 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 监测数据质量，促进数据重用、探索和假设生成；3)建立一个泛 神经创伤(PANORAUMA)数据共享，将目前支持的独立数据资产整合在一起 我们的多PI(MPI)团队通过调整治理结构和政策的拼凑。建议的目标是 项目是开发一个用于临床前发现、可重复性测试和翻译的池存储库 在神经创伤类型内部和之间的发现。我们的团队完全有能力执行这个项目 我们开发了一些最大的多中心、多物种的神经创伤数据仓库 迄今为止(N&GT；10,000名受试者，20,000个精选变量)；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 神经信息学协调设施(INCF)PANORAUMA合作协议反应强烈 根据PAR-20-089，利用SCI和TBI数据共享方面的早期成功来提高质量和可持续性。

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.