Ruiz-Olazar Margarita, Rocha Evandro Santos, Vargas Claudia D, Braghetto Kelly Rosa
Research, Innovation and Dissemination Center for Neuromathematics, University of São Paulo, São Paulo, Brazil.
Polytechnic Faculty, National University of Asunción, Asunción, Paraguay.
Front Neuroinform. 2022 Jan 7;15:768615. doi: 10.3389/fninf.2021.768615. eCollection 2021.
Computational tools can transform the manner by which neuroscientists perform their experiments. More than helping researchers to manage the complexity of experimental data, these tools can increase the value of experiments by enabling reproducibility and supporting the sharing and reuse of data. Despite the remarkable advances made in the Neuroinformatics field in recent years, there is still a lack of open-source computational tools to cope with the heterogeneity and volume of neuroscientific data and the related metadata that needs to be collected during an experiment and stored for posterior analysis. In this work, we present the Neuroscience Experiments System (NES), a free software to assist researchers in data collecting routines of clinical, electrophysiological, and behavioral experiments. NES enables researchers to efficiently perform the management of their experimental data in a secure and user-friendly environment, providing a unified repository for the experimental data of an entire research group. Furthermore, its modular software architecture is aligned with several initiatives of the neuroscience community and promotes standardized data formats for experiments and analysis reporting.
计算工具可以改变神经科学家进行实验的方式。这些工具不仅有助于研究人员管理实验数据的复杂性，还能通过实现可重复性以及支持数据的共享和重用，增加实验的价值。尽管近年来神经信息学领域取得了显著进展，但仍缺乏开源计算工具来应对神经科学数据的异质性和数量，以及实验过程中需要收集并存储以供后续分析的相关元数据。在这项工作中，我们展示了神经科学实验系统（NES），这是一款免费软件，可协助研究人员进行临床、电生理和行为实验的数据收集程序。NES使研究人员能够在安全且用户友好的环境中高效地管理其实验数据，为整个研究团队的实验数据提供一个统一的存储库。此外，其模块化软件架构与神经科学界的多项举措保持一致，并促进实验和分析报告的标准化数据格式。
