NeuroImaging Data Model (NIDM)-Results provides a representation of mass univariate neuroimaging analysis results, unified across analysis software packages. Implementation of NIDM-Results within FSL and SPM, two of the main neuroimaging software packages, provides an automated solution to share maps generated by neuroimaging studies along with their metadata.
Open metadata markup language (odML) is a format for storing metadata in an organised human- and machine-readable way. It does not constrain the metadata content, while providing a common schema (with implementations in XML, JSON, YAML) to integrate metadata from various sources. In addition, odML facilitates and encourages standardization by providing terminologies for metadata.
Neurodata Without Borders: Neurophysiology (NWB:N) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. NWB:N provides interoperable APIs in python and MATLAB and supports specific meta-data structures for storing a variety of neurophysiology data including from intracellular and extracellular electrophysiology experiments, optical physiology experiments, as well as tracking and stimulus data.
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.