数据科学及其在大型神经科学合作中的未来。

IF 14.7 1区医学 Q1 NEUROSCIENCES

Neuron Pub Date : 2024-09-25 DOI:10.1016/j.neuron.2024.08.017

Manuel Schottdorf, Guoqiang Yu, Edgar Y Walker

引用次数: 0

摘要

合作神经科学需要系统的数据管理和分析。在实践中如何做到这一点仍不清楚。基于对神经科学合作项目的调查，我们记录了当前的技术水平，重点是数据整合、共享和研究人员培训。我们提出了最佳实践，并列出了实现这些目标的行动和政策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data science and its future in large neuroscience collaborations.

Collaborative neuroscience requires systematic data management and analysis. How this is best done in practice remains unclear. Based on a survey across collaborative neuroscience projects, we document the current state of the art focusing on data integration, sharing, and researcher training. We propose best practices and list actions and policies to attain these goals.

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来源期刊

Neuron 医学-神经科学

CiteScore

24.50

自引率

3.10%

发文量

382

审稿时长

1 months

期刊介绍： Established as a highly influential journal in neuroscience, Neuron is widely relied upon in the field. The editors adopt interdisciplinary strategies, integrating biophysical, cellular, developmental, and molecular approaches alongside a systems approach to sensory, motor, and higher-order cognitive functions. Serving as a premier intellectual forum, Neuron holds a prominent position in the entire neuroscience community.