More broadly, this situation undermines ongoing data integrity efforts underway in other scientific disciplines. As an example, the FAIR Guiding Principles identify four qualities essential for extracting maximum utility from published scholarly data: Findability; Accessibility; Interoperability; and Reusability . The lack of precision in existing SMILES documentation means that chemical data sets based on SMILES will suffer in all four areas.