Rapid technical development means that neuroscience datasets are growing ever bigger and more complex, which makes them harder to store, analyze and share. However, if data are organized, well defined and well described in a standardized way, computational methods can help.

The INCF/OCNS Software Working Group is hosting a virtual five-day satellite event with neuroscience software tool tutorials on June 27 - July 1, before the CNS*2022 conference.

The INCF Secretariat and community are deeply saddened to hear of the passing of Gordon Shepherd: a great supporter of the INCF mission and a much appreciated friend and colleague. Gordon will be sorely missed and his enthusiasm and kindness will live on - he was a truly neuroinformagical person.

The INCF Infrastructure Committee’s “Recommendations for repositories and science gateways from a neuroscience perspective” has been published today, May 16, as a Comment in Scientific Data. The INCF Infrastructure Committee (IC), then led by Wojtek Goscinski, started the project with dual purposes - to help neuroscience researchers choose good services for their specific use cases, and to help service providers make good and future-proof decisions for setup and operations.

The Canadian Open Neuroscience Platform (CONP) was established in 2017, as a national network of Canadian neuroscience research centers committed to collaborating on a series of new open neuroscience initiatives, centered on sharing data and tools. CONP is a collaborator of INCF and has funding from Brain Canada and many other partner organizations.

We are happy to announce that INCF has been accepted as a mentoring organization in Google Summer of Code 2022, for the 12th year running!

INCF has participated as a GSoC mentoring organization since 2011, identifying and recruiting mentors from our community who volunteer to mentor one or more GSoC contributors in open source software development over the summer.

Short-Course: Longitudinal Data Tensor-Linear Modeling and Space-kime Analytics. This short course will cover the current state-of-the-art approaches for tensor-based linear modeling and space-kime analytics. Instructors will present a generalized framework for modeling and prediction of scalar, matrix, or tensor outcomes from observed tensor inputs.

A recent perspective article in Neuroinformatics calls for increased international collaboration on standardization of neuroscience data.

On January 26,  the US National Institutes of Health (NIH) Office of Data Science Strategy (ODSS) launched the Generalist Repository Ecosystem Initiative (GREI), to enable better access to and discovery of NIH-funded data among generalist repositories.

An initial effort has now been made by the BICCN network to make the most comprehensive and detailed map ever of any brain area; a map of the motor cortex and the cells it contains. More than 250 persons at more than 45 institutions across 3 continents have studied the area using an array of complementary methods.  The resulting 17 papers are now being simultaneously published in Nature.