论文标题
来自艾伦脑观测员的神经生理学数据：经验教训
Sharing Neurophysiology Data from the Allen Brain Observatory: Lessons Learned
论文作者
论文摘要
为公开可用的任何观察或实验制作所有数据是经验科学的一个定义特征（例如，皇家学会的座右铭）。它提高了透明度，可重复性和社会信任。尽管许多人都在精神上拥抱，但实际上，开放数据共享仍然是当代系统神经科学的例外。在这里，我们库存了艾伦脑观测站，这是为了共享与实验室视觉系统中神经元活动调查相关的数据和元数据。这些调查的数据已用于生成新发现，验证计算算法，并作为与其他数据进行比较的基准，从而导致100多个出版物和预印本。我们将一些有关开放调查和数据重用的经验教训提炼出来，包括剩余的数据共享障碍以及解决这些问题的障碍。
Making all data for any observation or experiment openly available is a defining feature of empirical science (e.g., nullius in verba, the motto of the Royal Society). It enhances transparency, reproducibility, and societal trust. While embraced in spirit by many, in practice open data sharing remains the exception in contemporary systems neuroscience. Here, we take stock of the Allen Brain Observatory, an effort to share data and metadata associated with surveys of neuronal activity in the visual system of laboratory mice. The data from these surveys have been used to produce new discoveries, to validate computational algorithms, and as a benchmark for comparison with other data, resulting in over 100 publications and preprints to date. We distill some of the lessons learned about open surveys and data reuse, including remaining barriers to data sharing and what might be done to address these.
