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培训空间:无国界神经教育。

Trainingspace: Neuroeducation Without Borders.

作者信息

George Pradeep, Sandström Malin, Abrams Mathew Birdsall

机构信息

International Neuroinformatics Coordinating Facility (INCF), Stockholm, Sweden, 171 77.

Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden, 171 77.

出版信息

J Undergrad Neurosci Educ. 2022 Jun 1;20(2):A280-A283. doi: 10.59390/BIWD8550. eCollection 2022 Winter.

Abstract

Advancements in the field of neuroinformatics have resulted in a massive explosion of raw data of many varieties, yet many traditional neuroscience training programs have not changed their curricula to reflect the urgent need for improved computational skills that would enable trainees to handle, organize, and interrogate such large, multimodal datasets. Thus, the objective of this project was to build an open access hub of neuroscience educational resources to fill the gap between current neuroscience curricula and the computationally focused skillset required to work with big data. To achieve this aim, we invited representatives from the world's leading neuroscience societies and large-scale brain initiatives to form the INCF Training and Education Committee that would provide oversight over the content and capabilities of the online hub. As a result, we developed TrainingSpace (https://training.incf.org/), an open access hub of nearly 500 multimedia courses, lectures, and tool tutorials covering the subspecialisms of neuroscience and neuroinformatics, as well as computer science, data science, and ethics. In addition to course content, TrainingSpace also provides users with access to publicly available datasets through KnowledgeSpace, a discoverability portal and community encyclopedia for neuroscience, as well as a question and answer forum, Neurostars.org. Since its launch in 2019, TrainingSpace has steadily increased in popularity with both trainees and trainers alike. It has also become popular with content providers that want to make their training materials available to the neuroscience community-at-large, as well as integrate their content into the larger TrainingSpace ecosystem.

摘要

神经信息学领域的进展导致了多种原始数据的大量涌现,然而许多传统的神经科学培训项目并未改变其课程设置,以反映对提升计算技能的迫切需求,而这些技能能使学员处理、组织和分析如此庞大的多模态数据集。因此,本项目的目标是建立一个神经科学教育资源的开放获取中心,以填补当前神经科学课程与处理大数据所需的以计算为重点的技能集之间的差距。为实现这一目标,我们邀请了世界领先的神经科学协会和大规模脑计划的代表组成国际神经信息学协调设施(INCF)培训与教育委员会,该委员会将对在线中心的内容和功能进行监督。结果,我们开发了TrainingSpace(https://training.incf.org/),这是一个开放获取中心,有近500门多媒体课程、讲座和工具教程,涵盖神经科学和神经信息学的子专业,以及计算机科学、数据科学和伦理学。除了课程内容,TrainingSpace还通过KnowledgeSpace为用户提供对公开可用数据集的访问权限,KnowledgeSpace是一个神经科学的可发现性门户和社区百科全书,以及一个问答论坛Neurostars.org。自2019年推出以来,TrainingSpace在学员和培训师中都越来越受欢迎。它也受到了希望向整个神经科学界提供其培训材料,并将其内容整合到更大的TrainingSpace生态系统中的内容提供者的欢迎。

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本文引用的文献

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Quantitative skills in undergraduate neuroscience education in the age of big data.
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Ten simple rules for making training materials FAIR.
PLoS Comput Biol. 2020 May 21;16(5):e1007854. doi: 10.1371/journal.pcbi.1007854. eCollection 2020 May.
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Neuroscience Training for the 21st Century.
Neuron. 2016 Jun 1;90(5):917-26. doi: 10.1016/j.neuron.2016.05.030.

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