The Global Alliance for Genomics and Health (GA4GH) and the International Neuroinformatics Coordinating Facility (INCF) launched a new group to lay the groundwork for connecting global neuroscience and genomic data.

INCF has been working to facilitate data sharing in neuroscience since 2005 by supporting community-driven standardization and interoperability efforts, and ensuring impact through training and advocacy activities. Your contribution enables us to provide open science resources and training activities to the global neuroscience community.

In a continuing effort to identify barriers to data sharing and reuse among neuroscience researchers worldwide, INCF’s Infrastructure Committee is redistributing a brief anonymous survey.

Call is now open for interested trainees to apply for a position in the third annual collaboration between INCF and MathWorks: MATLAB Community Toolbox Training Projects 2023.

INCF will apply to be a mentor organization in Google Summer of Code for the 13th time running. Want to join us? If your project supports or implements INCF endorsed standards or best practices, we especially encourage you to apply! 

Mathworks and INCF held a pilot round last summer of engaging current or recently graduated students as trainees to work on MATLAB neuroscience toolboxes. Four trainees worked with mentors from the toolboxes Automatic Analysis, EEGLAB, FieldTrip and MatNWB.

SfN starts tomorrow - Sat Nov 12 - and we look forward to seeing you there! Here is a list of the INCF member activities that will be taking place during the week. Note that we may add to this list as the week goes on, so feel free to check back!

Infrastructure Committee is trying to identify barriers to data sharing and reuse among neuroscience researchers worldwide, with a brief anonymous survey. The results will be made public, and will be used by INCF to develop strategies and activities for supporting the global neuroscience community.

INCF is asking for your help to review the Neo object model for electrophysiology data, to assess its value as a community standard.

Neo is an object model for handling electrophysiology data in multiple formats. It is suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations.

The Allen Institute OpenScope Program, DANDI Archive, Neurodata Without Borders (NWB), and The Kavli Foundation are joining up to arrange a hackathon for secondary analysis of neurophysiology data on October 3 - 5, 2022 at the Allen Institute.