What can be learned from this? To enhance data quality, it is key to implement automated protocols that take the human out of the loop in data handling post-measurement, thus reducing the risk of manually introducing errors. Additionally, adhering to a journal's conventions for presenting data is essential to reduce ambiguity and facilitate verification. The problem can be approached from both ends by both putting a focus on machine-readability and by devising tools that can help to translate chemical language and representations such as chemical drawings. In the realm of chemical education, it's important to emphasize the distinctions between nominal mass, exact mass, molecular weight, and the mass differences between charged and uncharged species ([M] vs. [M]+). Figure shows the magnitude of the error relative to the mass of the cation [M+Na]+ depending on how the exact mass was miscalculated.