加拿大开放神经科学平台 - 为神经科学社区提供一个开放的科学框架
Rachel J Harding1, Patrick Bermudez2, Alexander Bernier3
1Structural Genomics Consortium, University of Toronto, Toronto, Ontario, Canada.
PLoS computational biology
|July 27, 2023
概括
加拿大开放神经科学平台 (CONP) 通过提供可访问的研究,数据和工具来增强开放的神经科学. CONP旨在通过其门户,预印服务器和社区支持来加速发现.
科学领域:
- 神经科学是一个神经科学.
- 开放科学是一个开放的科学.
- 数据科学数据科学数据科学
背景情况:
- 加拿大开放神经科学平台 (CONP) 成立,以解决神经科学研究中更大的可访问性和协作需求.
- 传统的研究实践往往涉及数据孤岛和对工具的有限访问,阻碍了科学进步.
研究的目的:
- 为了提供一个高层次的概述CONP的多方面的方法,使开放的神经科学.
- 突出CONP降低障碍和加速神经科学界发现的愿景.
主要方法:
- 开发CONP门户,一个去中心化的存储库,用于浏览,搜索,访问和共享神经科学数据集和分析工具.
- 实现NeuroLibre,一个预印服务器,用于托管可执行和可重复的科学出版物.
- 建立伦理和数据治理框架,培训资源和社区参与倡议.
主要成果:
- 包括门户和NeuroLibre在内的CONP基础设施有助于遵守FAIR原则的数据和工具可访问性.
- CONP为培训和道德数据管理提供了全面的支持,促进了协作研究环境.
- 该平台通过战略推广和沟通努力,成功地培养了积极参与的社区.
结论:
- CONP提供了一个整体的解决方案,以促进开放的神经科学实践,使个人研究人员和科学界受益.
- 通过降低数据和工具访问障碍,CONP加速了神经科学发现的步伐.
- 该平台对基础设施,治理,培训和社区建设的综合方法是其成功的关键.
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