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

Trainingspace: Neuroeducation Without Borders

Pradeep George  1   2 , Malin Sandström  1   2 , Mathew Birdsall Abrams  1   2
Affiliations

Trainingspace: Neuroeducation Without Borders

Pradeep George et al. J Undergrad Neurosci Educ. .

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.

Keywords: computational neuroscience; conference lectures; courses; neuroethics; neuroinformatics; neuroscience; online training; open neuroscience resource; self-guided study; tutorials.

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Figures

Figure 1
Figure 1
TrainingSpace landing page.
Figure 2
Figure 2
The search by topic interface in TrainingSpace. This interface enables users to refine their searches by clicking all applicable tags in the topics, lesson types, and difficulty level fields.
Figure 3
Figure 3
Example of a TrainingSpace content page. The same format is used regardless of whether the content is a lecture, course, or tutorial.
Figure 4
Figure 4
Community adoption of TrainingSpace. Geographic distribution of countries with TrainingSpace users from March 2019 to December 2021.
See this image and copyright information in PMC

References

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    1. Garcia L, et al. Ten simple rules for making training materials FAIR. PLoS Comput Biol. 2020;16(5):e1007854. doi: 10.1371/journal.pcbi.1007854. - DOI - PMC - PubMed
    1. Hoy R. Quantitative skills in undergraduate neuroscience education in the age of big data. Neurosci Letts. 2021;759:136074. doi: 10.1016/j.neulet.2021.136074. - DOI - PubMed

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