Abstract
The field of catalysis currently lacks a structured repository for experimental data, and the publication of machine-readable datasets remains uncommon. To address this gap and support FAIR (Findable, Accessible, Interoperable, and Reusable) data principles, we introduce a new plugin within the NOMAD platform for managing and publishing heterogeneous catalysis data, the nomad_catalysis plugin. This plugin enables the upload of structured experimental data and metadata with built-in visualization and alignment to the community-developed vocabulary Voc4Cat, ensuring long-term interpretability. In addition to facilitating efficient data sharing, the catalysis app offers intuitive search functionality, enabling researchers to quickly identify relevant catalytic reactions, catalyst materials, reaction conditions and kinetic properties. This infrastructure lays the foundation for advanced data analytics and machine learning applications, supporting more efficient and reproducible catalyst development.



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