Skip to main content
x

Training

The Importance of Training

The emergence of data-intensive science creates a demand for neuroscience educators worldwide to deliver better neuroinformatics education and training in order to raise a generation of modern neuroscientists with FAIR capabilities, aware of the value of standards and best practices, knowledgeable in dealing with big datasets, and able to integrate knowledge over multiple scales and methods. To be able to deal with neuroscience questions efficiently, the neuroscientists of tomorrow will require dual experience in bench sciences and in computational and data sciences. To facilitate the future’s bigger and more complex collaborations, scientists will also require better training in communication, collaboration and ethics. Attracting and training this new generation of neuroscientists will be of critical importance to the future of neuroscience.

For these reasons, training activities are a key strategic focus of INCF. For practical reasons, access to advanced training has often been limited by distance, time, lack of resources and limited access to materials. INCF has developed a web service, TrainingSpace,  linking world-class neuroinformatics training resources, developed both by INCF and by partners, which integrates existing community resources with newly constructed custom content. INCF also arranges the yearly INCF Assembly, where community members can learn about the latest advancements in neuroinformatics, attend tutorials on the latest tools, methods, and  neuroinformatics approaches, and interact with tool developers.

  

INCF Training Activities

TrainingSpace (TS) is an online hub that makes multimedia educational content from courses, conference lectures, and laboratory exercises from some of the world’s leading neuroscience institutes and societies more accessible to the global neuroscience community. TS provides users with study tracks for self-guided study, tutorials on tools and open science resources for neuroscience research, a Q&A forum, and access to publicly available datasets as well as links to literature references.

KnowledgeSpace (KS) is a community-based, data-driven encyclopedia for neuroscience that links brain research concepts to data, models, and the literature that support them. KS is a framework that combines general descriptions of neuroscience concepts found in wikipedia with more detailed content from NeuroLex. It then integrates the content from those two sources with the latest neuroscience citations found in PubMed and data found in some of the world’s leading neuroscience repositories.

Neurostars(NS) is a question and answering site that serves the INCF network as a forum for knowledge exchange between national nodes; as a point of interaction between neuroscientists, software developers, and infrastructure providers; and as an integral resource in the network’s training and mentoring initiatives.

Google Summer of Code (GSoC) is a global program focused on bringing more student developers into open source software development. Since 2011, the INCF network has served as a mentoring organization that pairs students with developers to work on 3-month programming projects.

Google Season of Docs is a global program that brings the open source and technical writer communities together. Since 2019, the INCF network has served as a mentoring organization that pairs technical writers with developers of open source software to work on 3-month technical writing projects.

The purpose of Brainhack is to bridge the data science and neuroscience research communities to advance the progress of brain science research. Brainhack is a unique conference that convenes researchers from across the globe and myriad disciplines to work together on innovative projects related to neuroscience.