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FAIRmat
FAIR data infrastructure for condensed-matter physics and the chemical physics of solids
We develop software to support the FAIR principles in the field of condensed-matter physics, the chemical physics of solids and materials science in general. FAIR refers to a set of guiding principles to make data Findable, Accessible, Interoperable, and Reusable. The FAIRmat consortium is part of the National Research Data Infrastructure (NFDI) and is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation | project 460197019).
A collection of repositories that are part of the FAIRmat consortium.
NOMAD
This is the main software that powers the infrastructure and our central deployment. It's a platform for sharing, storing, and analyzing materials data. You can install your own NOMAD Oasis 🌴 and customize it to meet your needs, including features to define your ELNs, custom schemas, parsers, and cloud-based analysis tools (NORTH).
A collection of plugins for computational data. These plugins contain schemas and parsers for computational data. Note: the current schema and parser structure is being refactored and we have two versions currently living in our repositories: the new plugins and the legacy plugins. Check out the full list of supported codes.
A collection of plugins for experimental data, including material processing and measurements. These plugins contain schemas, ELNs and parsers for experimental data.
We extend the NeXus format to support the FAIR principles. This is a collection of repositories that are part of the FAIRmat consortium to support the NeXus format.