Rigorous Research Principles for Practicing Neuroscientists

项目总结 在越来越大的尺度上测量神经活动的技术进展，以及越来越多的空间和 时间分辨率，伴随着数据存储成本的降低，正在推动一场革命 神经科学。随着全球神经数据的积累，全球神经科学面临着新的挑战 社区：如何理解这些复杂的数据以推动生物学洞察并阐明新的观点 神经和神经精神障碍。这个由数据驱动的神经科学研究新时代要求 调查人员掌握严格的研究原则，并知道何时以及如何应用这些原则。 缺乏可利用的资源来发展这些严格的研究技术的实践经验 神经科学。为了应对当前日益严峻的挑战，我们建议发展教育单位。 重点对具体原则进行了严谨的研究。为了接触到最大的目标受众--生物学家， 心理学家和临床医生直接使用神经数据-我们只假设有基本的数学知识 背景和对计算机编程的有限熟悉，这对于那些接受过生物科学培训的人来说是常见的。 拟议的教育单位将面向所有职业层次的调查人员--从一开始就是这样 本科生研究人员对既定的PI-理解并应用严谨研究的原则 神经数据。通过跨学科的案例研究方法，我们将使用来自神经科学的真实世界数据 鼓励学习和应用严谨的研究原则。为了让学习者参与进来，我们将制定 结合书面文本、短视频讲座和计算机编程练习的多媒体材料， 促进对材料的实践学习。模块化格式将提供多条连贯的学习路径 通过在线内容，从而允许个性化学习对不同数量的个人 背景和研究兴趣。教育单位格式还将允许开发的资源 可广泛获得、传播和发现，并可轻松整合到中心框架中。这个 拟议的教育单位将使研究人员具备分析以下物质所需的基本技能 神经数据，并在整个研究中提高严格研究原则中的一般能力 劳动力。

PROJECT SUMMARY Advances in technology for measuring neural activity at ever-larger scales and with increasing spatial and temporal resolution, concomitant with a decrease in costs of data storage, are driving a revolution in neuroscience. As neural data accumulates worldwide, a new challenge faces the global neuroscience community: how to make sense of these complex data to drive biological insight and to shed new light on neurological and neuropsychiatric disorders. This new, data-driven era of neuroscientific research demands that investigators master rigorous research principles and know when and how to apply these principles. Accessible resources to develop hands-on experience with these rigorous research techniques are lacking in neuroscience. To address this current and growing challenge, we propose to develop educational units focused on specific principles of rigorous research. To reach the largest target audiences - the biologists, psychologists, and clinicians working directly with neural data - we will assume only a basic mathematics background and limited familiarity with computer programing, common to those trained in biological sciences. The proposed educational units will target investigators at all career levels - spanning from the beginning undergraduate researcher to the established PI - to understand and apply principles of rigorous research to neural data. Through an interdisciplinary case-study approach, we will use real-world data from neuroscience to motivate the study and application of rigorous research principles. To engage learners, we will develop multimedia material combining written text, short video lectures, and computer programming exercises, that promote hands-on learning of the material. The modular format will provide multiple coherent learning paths through the online content, and thereby allow personalized learning for individuals with varying quantitative backgrounds and research interests. The educational unit format will also permit the developed resources to be widely available, disseminated, and discoverable, and easily integrated into the CENTER framework. The proposed educational units will prepare researchers with the fundamental skills required for the analysis of neural data and elevate the general competencies in rigorous research principles across the research workforce.