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Today’s article on the FAIR principles of data use gave four broad methods of effectively producing fair data and further explained these ways. It tells us that data should aim to be   Find able, Accessible, Interoperable and Reusable.  It is, however, slightly difficult to this achievement as there is no universal storage of data that ensure that all data recorded is done with unique, non repeated identifiers and are done in language language and format that is accessible to all. Also, technology advances at different velocities in different parts of the world and advanced techniques that make data FAIR in some areas could also be making it harder to understand or translate for those in other areas.