Corruption of data depends on the conceptualization and approach to data. If perceived as ways of offering people access to social reality (i.e., from a rather metaphorical perspective, in which data are regarded as a liquid, flowing things that are emerging and permanently co-created), then corruption of data might translate into practices including misleading/ misinterpreting/ hiding/ offering only a part of certain data, thus contributing to the wellbeing of the self, which is, in turn, detrimental to that of the whole community. Examples include hiding or misreporting some healthcare information by individuals and/ or authorities/ institutions with either immediate results (e.g., the most recent COVID-19 pandemic is the context in which some people hid the fact that they have traveled in areas where the virus has been very present, thus infecting other people) or medium-term ones such as offering an incomplete image about reality. If perceived as rather technical, corruption of data might strictly refer to some technological/ digital/ information technology-related issues such as different sorts of errors in computer data that occur during writing, reading, storage, transmission, or processing, which introduce unintended changes to the original data