Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales. However, our ability to capitalize on existing datasets, tools, and intellectual capacities is hampered by technical challenges. The key barriers to accelerating scientific discovery correspond to the FAIR data principles: findability, global access to data, software interoperability, and reproducibility/re-usability. We conducted a hackathon dedicated to making strides in those steps. This manuscript is a technical report summarizing these achievements, and we hope serves as an example of the effectiveness of focused, deliberate hackathons towards the advancement of our quickly-evolving field.
翻译：现在,神经科学家能够以惊人的速度在时空范围内获取数据。然而,我们利用现有数据集、工具和智力能力的能力受到技术挑战的阻碍。加速科学发现的主要障碍符合FAIR数据原则:可发现性、全球数据访问、软件互操作性以及可复制性/可复制性。我们开展了一项黑手党运动,致力于在这些步骤中取得长足进展。本稿是一份概述这些成就的技术报告,我们希望成为重点突出、深思熟虑的黑客有效推进我们快速发展的领域的一个范例。
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