This organization is home to various useful tools, libraries, and data models aimed at providing means for FAIR and sustainable research in chemistry. All tools utilize the software-driven Research Data Management framework to define application-specific data schemes.
Have a look at our pyAnIML library for working with the powerful Analytical Information Markup Language (AnIML) standard! Working with thermodynamic rather than analytical data? Visit our pyThermoML library instead. Or maybe you are interested in FAIR tools and workflows for small-angle scattering (SAS) experiments? You can find these in our SAS-tools repository.
There is much more to be found, so please take a look around. Still not satisfied? Consider contributing to the ever expanding FAIR Chemistry GitHub!
The following tools have been developed in and around the FAIR Chemistry organization:
The following data models have been developed in and around the FAIR Chemistry organization:
coming soon
The following workflows have been developed in and around the FAIR Chemistry organization:
