This work presented a proof of principle of implementing semantic web approaches for reporting ENMs and their interactions with biological events and resulted in an open dataset and a publically available SPARQL endpoint for exploration and query answering. The work has shed light on various aspects of nanosafety research, specifically in the context of extracting and analyzing information from the scientific literature. We explored the challenges posed by manual work in data curation and the limitations it imposes on scalability and consistency. Furthermore, we discussed the application of the NanoSafety RDF and its utility in investigating the physicochemical properties of nanomaterials and their potential effects. The RDF's accessibility through SPARQL endpoints and user-friendly interfaces offers researchers the opportunity to explore relationships between properties and biological effects, contributing to the advancement of nanosafety research in a safe(r) and sustainable manner. Looking ahead, we identified future directions and recommendations and emphasized the importance of standardized data reporting and the inclusion of key identifiers in nanosafety studies. Overall, this work has provided insights into the challenges, opportunities, and recommendations for advancing nanosafety research, showcasing the potential of semantic web approaches and computational tools in supporting the understanding of nanomaterials and their effects on human and environmental health.