Advancing Standardization of Neurophysiology Data Through Dissemination of NWB

项目摘要 缺乏神经生理学数据和相关元数据的标准是充分利用这些数据的最大障碍。 从神经生理学实验中获取投资回报科学界最伟大的问题之一 今天是了解大脑如何工作，并产生思想，记忆，感知， 意识为了应对这一挑战，NIH BRAIN倡议和周围的神经生理学家 世界各地的科学家进行实验，测量大脑不同部位的神经元活动， 活动到感觉和行为。BRAIN计划的一个关键组成部分是支持分享这些丰富的 数据集，并通过在实验室内和实验室之间重复使用数据来扩展其价值。这项提案的目的是 传播作为NIH一部分开发的神经数据无国界（NWB）神经生理学技术 BRAIN Initiative广泛应用于神经科学研究界。NWB是一个屡获殊荣的， 社区驱动的神经生理学数据标准和软件生态系统。为了促进数据共享， NWB格式描述了神经生理学数据和相关元数据的存储方式， NWB软件使研究人员能够轻松有效地访问和保存NWB格式的数据。几 领先的神经科学实验室和机构现在在NWB中产生数据;然而， 仍有待实验室将数据标准化。为了降低采用NWB的障碍，我们提出了多方面的 计划通过关注1）神经科学研究人员和实验室的需求，使NWB更容易使用， 加强用户培训，支持和新技术的覆盖面，2）神经科学工具， 通过保持核心NWB技术并与各种强大的数据工具集成， 和技术。以NWB数据为目标，科学家可以使用通用的 协议，而开发人员有一个通用的格式，在此基础上构建工具。通过瞄准这两个领域 与此同时，我们的目标是减少分析成本、时间和精力;提高质量、可靠性和准确性， 并使科学家能够获得新的科学能力。圆满完成拟议工作 将使NWB广泛传播到神经科学实验室和研究人员，并将NWB与 神经科学工具，为研究社区提供可访问的数据标准和软件 增强神经生理学数据的利用、共享、质量、可靠性和分析的生态系统。

PROJECT SUMMARY Lack of standards for neurophysiology data and related metadata is the single greatest impediment to fully extracting return on investment from neurophysiology experiments. One of the greatest questions in science today is understanding how the brain works and gives rise to thoughts, memories, perception, and consciousness. To address this challenge, neurophysiologists within the NIH BRAIN initiative and around the world perform experiments that measure neuronal activity from different parts of the brain and relate that activity to sensation and behavior. A key component of the BRAIN Initiative is to support sharing of these rich datasets and extend their value by enabling reuse of data within and across labs. The goal of this proposal is to disseminate Neurodata Without Borders (NWB) neurophysiology technologies developed as part of the NIH BRAIN Initiative broadly to the neuroscience research community. NWB is an award-winning, community-driven data standard and software ecosystem for neurophysiology. To facilitate data sharing and reuse, the NWB format standardizes how neurophysiology data and associated metadata are stored, and the NWB software enables researchers to access and save data in the NWB format easily and efficiently. Several leading neuroscience labs and institutions now produce data in NWB; however, a substantial energy barrier remains for labs to standardize their data. To lower the barrier of adopting NWB, we propose a multifaceted plan to make NWB easier to use by focusing on the needs of 1) neuroscience researchers and laboratories by enhancing user training, support, and coverage of new technologies and 2) neuroscience tools and technologies by maintaining core NWB technologies and integrating with a wide array of powerful data tools and technologies. With NWB data as a target, scientists can access, manage, and share data using common protocols, while developers have a common format on top of which to build tools. By targeting these two areas simultaneously, we aim to reduce cost, time, and effort for analysis; improve quality, reliability, and accuracy of results; and enable scientists to access new scientific capabilities. Successful completion of the proposed work will enable broad dissemination of NWB to neuroscience labs and researchers and integration of NWB with neuroscience tools, providing the research community with an accessible data standard and software ecosystem that enhances utilization, sharing, quality, reliability, and analysis of neurophysiology data.