Here, we introduce EnzymeML, a data exchange format for biocatalysis and enzymology, which makes enzyme data findable, accessible, interoperable, and reusable in accordance to the FAIR data principles . An application programming interface (API) provides Python and Java libraries to integrate applications and databases and to enable a seamless data flow from the bench to kinetic modelling tools and publication platforms. The machine-actable EnzymeML document on data and metadata of an enzymatic reaction could serve as a micropublication, supplementing the respective scientific paper.