Advancing Standardization of Neurophysiology Data Through Dissemination of NWB

项目总结 缺乏神经生理学数据和相关元数据的标准是充分 从神经生理学实验中获取投资回报。科学界最大的问题之一 今天的主题是了解大脑是如何工作的，并产生思想、记忆、感知和 意识。为了应对这一挑战，NIH大脑倡议和周围的神经生理学家 World进行实验，测量大脑不同部位的神经元活动，并将其联系起来 感觉和行为的活动。大脑计划的一个关键组成部分是支持共享这些丰富的 数据集，并通过支持在实验室内和跨实验室重复使用数据来扩展其价值。这项提议的目标是 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 大脑倡议广泛地推广到神经科学研究社区。NWB是一家获奖的 社区驱动的神经生理学数据标准和软件生态系统。以促进数据共享和 重用，NWB格式标准化了神经生理学数据和相关元数据的存储方式，并且 NWB软件使研究人员能够轻松高效地访问和保存NWB格式的数据。几个 领先的神经科学实验室和机构现在用NWB产生数据；然而，一个巨大的能量障碍 这还有待实验室对其数据进行标准化。为了降低采用NWB的门槛，我们提出了一个多方面的 计划通过专注于1)神经科学研究人员和实验室的需求，使NWB更易于使用 加强对新技术和神经科学工具的用户培训、支持和覆盖 通过维护核心NWB技术并与各种功能强大的数据工具集成来实现 和技术。以NWB数据为目标，科学家可以访问、管理和共享数据 协议，而开发人员有一种通用的格式，可以在其上构建工具。通过瞄准这两个领域 同时，我们的目标是减少分析的成本、时间和工作量；提高分析的质量、可靠性和准确性 结果；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能够向神经科学实验室和研究人员广泛传播，并将NWB与 神经科学工具，为研究界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率、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.