The lack of machine-readable experimental data impedes data-driven discoveries in catalysis research. To advance the FAIR principles — guidelines to improve the Findability, Accessibility, Interoperability and Reuse of digital assets — we have developed a catalysis plugin (called the Catalysis App) for the NOMAD platform that supports standardized data upload and features integrated visualization. This infrastructure provides a robust foundation for machine-learning workflows and the direct comparison of experimental data with theory.
- Julia Schumann
- Hampus Näsström
- Annette Trunschke