PDF(Pubmed)
Abstract：
The tree-like morphology of neurons and glia is a key cellular determinant of circuit connectivity and metabolic function in the nervous system of essentially all animals. To elucidate the contribution of specific cell types to both physiological and pathological brain states, it is important to access detailed neuroanatomy data for quantitative analysis and computational modeling. NeuroMorpho.Org is the largest online collection of freely available digital neural reconstructions and related metadata and is continuously updated with new uploads. Earlier in the project, we released multiple datasets together yearly, but this process caused an average delay of several months in making the data public. Moreover, in the past 5 years, >80% of invited authors agreed to share their data with the community via NeuroMorpho.Org, up from <20% in the first 5 years of the project. In the same period, the average number of reconstructions per publication increased 600%, creating the need for automatic processing to release more reconstructions in less time. The progressive automation of our pipeline enabled the transition to agile releases of individual datasets as soon as they are ready. The overall time from data identification to public sharing decreased by 63.7%; 78% of the datasets are now released in less than 3 months with an average workflow duration below 40 days. Furthermore, the mean processing time per reconstruction dropped from 3 h to 2 min. With these continuous improvements, NeuroMorpho.Org strives to forge a positive culture of open data. Most importantly, the new, original research enabled through reuse of datasets across the world has a multiplicative effect on science discovery, benefiting both authors and users.
摘要：
神经元和神经胶质的树状形态是基本上所有动物的神经系统中回路连通性和代谢功能的关键细胞决定因素。为了阐明特定细胞类型对生理和病理大脑状态的贡献，它是重要的访问详细的神经解剖学数据的定量分析和计算建模。神经形态.Org是免费提供的数字神经重建和相关元数据的最大在线集合，并通过新的上传不断更新。在项目的早期，我们每年一起发布多个数据集，但是这个过程导致数据公开平均延迟了几个月。此外，在过去的5年里,>80％的受邀作者同意通过NeuroMorpho与社区分享他们的数据。Org,高于该项目前5年的<20%。在同一时期,每本出版物的平均重建数量增加了600%，创造了对自动处理的需求，以便在更短的时间内发布更多的重建。我们的管道的逐步自动化使得能够在单个数据集准备就绪后立即过渡到敏捷发布。从数据识别到公共共享的总体时间减少了63.7%；78%的数据集现在在不到3个月的时间内发布，平均工作流持续时间低于40天。此外，每次重建的平均处理时间从3小时下降到2分钟。随着这些不断改进，神经形态.Org努力打造开放数据的积极文化。最重要的是,新的,通过重用世界各地的数据集而实现的原始研究对科学发现产生了倍增效应，有利于作者和用户。
