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神经生理学的开放数据:进步,解决方案和挑战

Colleen J Gillon1, Cody Baker2,3, Ryan Ly4

  • 1Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom.

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此摘要是机器生成的。

开放科学和开放数据原则正在改变生命科学. 本报告综合了第一届神经生理学开放数据 (ODIN) 研讨会的见解,倡导在神经科学中采用它们以加速发现.

关键词:
代码 代码 代码 代码合作 合作 合作 合作数据集数据集数据集.神经生理学神经生理学开放科学是一个开放的科学.分享 分享 分享 分享 分享 分享.

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科学领域:

  • 神经科学是一个神经科学.
  • 生命科学 生命科学
  • 科学研究 科学研究

背景情况:

  • 由于50年来数据可复制性和透明度的提高,生命科学已经取得了显著的进步.
  • 结构生物学和基因组学在系统数据收集和出版方面取得了重大突破.

研究的目的:

  • 倡导在神经科学中采用开放数据和开放科学原则.
  • 综合第一届神经生理学开放数据研讨会 (ODIN) 的见解.
  • 概述社区成长和神经科学透明科学的计划.

主要方法:

  • 该报告综合了首届神经生理学开放数据研讨会 (ODIN) 的见解.
  • 它记录了新兴的对话,并提出了在神经科学中开放科学的前进道路.

主要成果:

  • ODIN研讨会强调了开放科学的潜力,以改变神经科学.
  • 人们认识到需要新的社会结构来支持该领域的开放科学实践.

结论:

  • 神经科学已经准备好通过开放数据和开放科学实现变革性的进步.
  • 加强开放科学社区对于神经生理学的未来发现至关重要.