Commentary on the critical window for becoming a FAIR researcher by Heidi Kleven and Ingvild E. Bjerke, Neural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Norway.

A 2-day Summer Course on Data Science and Predictive Analytics including computational neuroscience applications. Intermediate to advanced data science training including collecting, managing, processing, interrogating, analyzing and interpreting complex health and biomedical datasets using R. Participants will gain skills and acquire a tool-chest of methods, software tools, and protocols that can be applied to a broad spectrum of Big Data problems.

This past summer, 1199 students from 66 countries were accepted into the 2020 Google Summer of Code (GSoC) program, working with nearly two hundred organizations on developing open source software. The program accepts students from all over the world, who receive stipends to write code - according to a self-defined project plan - for various open source software projects. 21 students worked with INCF’s mentors in various neuro-related research tool projects.

The Five Recommendations for FAIR software were submitted to INCF for endorsement as a Best Practice and is now open for community review, an important step in the endorsement process. Please visit F1000 Call for Community Feedback on Five Recommendations for FAIR Software to comment.

The Center for Neural Science (https://www.cns.nyu.edu/) at New York University (NYU), jointly with the Center for Computational Neuroscience (CCN) at the Flatiron Institute of the Simons Foundation, invites applications for an open rank joint position, with a preference for junior or mid-career candidates.

The Google Summer of Code is a long-running program sponsored by Google where students get a stipend for pursuing coding projects in open source. INCF has participated in the program since 2011 as a mentoring organization.

Springer Link has just published a Neuroinformatics article on INCF. The article was written by the members of the INCF community, and describes the importance for standardization in data science and the role that INCF plays in the process.

As a part of our efforts to make available educational materials in neuroethics, we are proud to announce our partnership with the International Neuroethics Society (INS) to disseminate a webinar series covering a range of neuroethics topics.

Members of the community are asked to provide feedback on the DAQCORD Guidelines - a framework for achieving high-quality data by providing a descriptive system for planning and reporting observational studies. This is a part of INCF’s Standards and Best Practices review process to ensure the best practice being reviewed provides value to the community.

The NIX Format - a model for storing annotated datasets across a variety of disciplines - has been endorsed by INCF!