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NIX

INCFSN
Candidate standard
Review comments
RRID
RRID:SCR_016196
Tags

About

Neuroscience information exchange format (NIX) data model allows storing fully annotated scientific datasets, i.e. the data together with rich metadata and their relations in a consistent, comprehensive format. Its aim is to achieve standardization by providing a common data structure and APIs for a multitude of data types and use cases, focused on but not limited to neuroscience. In contrast to most other approaches, the NIX approach is to achieve this flexibility with a minimum set of data model elements. The NIX project includes native I/O libraries for C++ and Python, language bindings for Java and MATLAB and a viewer for NIX datafiles.

Learn more: http://g-node.github.io/nix

NIX has been submitted to INCF for endorsement and is now open for community review, which is an important step in our endorsement process. You can read and comment on the NIX standard on our F1000 channel - your feedback is important!

Links

Publications
NIX webpage

Similar Standards

NWB:N 2.0, NEO, NSDF

Supporting software

Usage scenario
  • For electrophysiology, use NIX to store analog signals, neural events, and spike trains data
  • If you are looking for a file format based on the Hierarchical Data Format (HDF5). Neither the data model nor the model for metadata are domain-specific to electrophysiology, but both models can be linked to predefined or custom terminologies which enables the user to give elements of the models a domain-specific, semantic context.