The INCF community blog is where we collect news, success stories, information about the INCF Assembly, our workshops, and community activities. You can also submit your relevant job openings. You can suggest content for the blog by filling out this form.
A new preprint describes the BRAIN Initiative Cell Census Network (BICCN), a major five-year effort within the BRAIN initiative that pioneers collaboration based on open and FAIR research practices. The BICCN is committed to implementing practices and technologies to make data and other research products FAIR.
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!
The INCF Training and Education Committee held a very successful Professional Development Workshop on Brain Data Science at SfN in San Diego.
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.
Identifiers for research resources are a new way to link papers, improve resource findability and reproducibility. A new project by SciScore and funded by the Chan Zuckerberg Initiative (CZI) will see to implement a Resource table for each preprint.
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!
On October 25, the INCF SBP committee voted to endorse Neo as a standard, with standard number INCFSN-22-02.
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.
Mark Alan Musen, professor of Biomedical Informatics and of Biomedical Data Science at Stanford University points out in Nature that without appropriate metadata, shared data cannot be reused and data-sharing mandates will be pointless.
The Neurodata Without Borders (NWB) team recently published a paper in eLife, “The Neurodata Without Borders ecosystem for neurophysiological data science” that describes their 8 year long effort to develop a data standard and a surrounding software ecosystem for neurophysiology data.
INCF is asking for your help to review the Neo object model for electrophysiology data, to assess its value as a community standard. Participating is simple; read the INCF SBP committee review report on F1000 and leave your feedback in the comments!