Nanosafety data reusability for computational risk assessment is of a great importance, but requires generally accepted machine-readable metadata standards, and the ability to combine between such standards. In this work, we identified twelve community standards for nanosafety and created 281 maturity indicators in compliance with the R1.3 FAIR subprinciple. Also, we created a web application to generate metadata in compliance with the nanosafety MIs and a second web application to assess the reusability of nanosafety data sources in an automated way. We demonstrated the workflow of defining the new maturity indicators, and we showed an example of the reusability test by assessing five datasets annotated with the caLIBRAte data criteria and provided an assessment report. Our work enforced the use of the JSON-LD format for metadata representation and the schema.org standardized vocabulary. We encourage the use of standard schema for metadata and an interoperable representation format like JSON-LD. We also encourage researchers to create metadata in the proposed format for their datasets and annotate their web resources to make them discoverable by search engines and automated software. Thus, make the door wide open for a broad range of applications that require data reusability in the nanosafety domain like grouping / read across, regulatory requirements and nanoform identification.