Reusing established ontologies, such as the BioAssay Ontology (BAO) and the NanoParticle Ontology (NPO) , has proven highly effective in ensuring that data annotated with these ontologies is interoperable across different datasets and platforms. This reuse aligns with the FAIR subprinciples I1 and I2, which emphasize the use of shared, broadly applicable languages for knowledge representation. In addition, modeling provenance using PROV-O ontology facilitates the secondary use of data by enabling users to track data origins and transformations, complying with the FAIR subprinciple R1.2. The integration of metadata further enriches the datasets by providing detailed information about the data creators, licensing, and contact points. This addition strengthens the datasets' reusability and ensures that they can be easily cited and attributed, promoting open science and encouraging broader participation in nanosafety research.