Invited special session on "Tensor Representation, Completion, Modeling and Analytics of Complex Data" and would like to invite the INCF Community to submit abstracts for presentations at the upcoming Joint Mathematics Meetings (JMM) in Boston, MA, January 4-7, 2023.

One of INCF’s core activities is the endorsement and promotion of already existing community Standards and Best Practices (SBPs). We have working groups developing newSBPs, and/or developing tools that implement SBPs to make them useful for the rest of the community. You can read more about why and how we endorse Standards and Best Practices, and browse our Standards and Best Practices portfolio.

Having read about the FAIR principles in our last post, you might wonder - what is metadata? Metadata is data that describes other data. It summarizes basic information about data, making it easier to find and work with particular instances of data. To be as useful as possible, metadata needs to be standardized so it can be used and understood by many, and especially by machines.

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.

On June 20-23, the International Data Week conference is taking place in Seoul, South Korea. Simultaneously, the international research data community will take the opportunity to highlight and discuss research data issues publicly, mostly online.

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.