FAIR-Aware is an open-source online tool aimed to support researchers, data stewards, and other data professionals in assessing and improving their understanding of the FAIR. In its most recent phase of development, the tool has been adapted to allow new versions to be easily made based on different metric specifications and languages. This increased flexibility reflects the reality in which FAIR knows many different interpretations and support is needed for a wide variety of different purposes. Discipline-specific, object-specific, and location-specific guidance can be developed and tested using the FAIR-Aware framework by anyone interested. Make sure to visit our poster to learn about these new developments, and share any questions or feedback with us!