Understanding how antibiotic resistance genes spread is essential for protecting human, animal, and environmental health. It requires collaboration across multiple fields and expertise under One Health initiatives, emphasizing the pressing need to consolidate diverse antibiotic data from human, animal, and environmental samples. In this paper, we propose a domain-specific Knowledge Graph leveraging the SOSA ontology to uniformly represent multi-modal data and their analysis while allowing the description of provenance metadata covering both time and geographical locations. This work is driven by a national consortium of antibiotic resistance experts (ABRomics). As experimental results,we show how this domain knowledge can be used to answer a specific expert question as well as increasing the FAIRness of antibiotic resistance data.