  This document focuses on databases disseminating data on (hazardous)
substances found on the North American and the European (EU) market. The goal
is to analyse the FAIRness (Findability, Accessibility, Interoperability and
Reusability) of published open data on these substances and to qualitatively
evaluate to what extend the selected databases already fulfil the criteria set
out in the commission draft regulation on a common data chemicals platform. We
implemented two complementary approaches: Manual, and Automatic. The manual
approach is based on online questionnaires. These questionnaires provide a
structured approach to evaluating FAIRness by guiding users through a series of
questions related to the FAIR principles. They are particularly useful for
initiating discussions on FAIR implementation within research teams and for
identifying areas that require further attention. Automated tools for FAIRness
assessment, such as F-UJI and FAIR Checker, are gaining prominence and are
continuously under development. Unlike manual tools, automated tools perform a
series of tests automatically starting from a dereferenceable URL to the data
resource to be evaluated. We analysed ten widely adopted datasets managed in
Europe and North America. The highest score from automatic analysis was 54/100.
The manual analysis shows that several FAIR metrics were satisfied, but not
detectable by automatic tools because there is no metadata, or the format of
the information was not a standard one. Thus, it was not interpretable by the
tool. We present the details of the analysis and tables summarizing the
outcomes, the issues, and the suggestions to address these issues.
