Developers should attend to and document the social descriptors (for example, age, gender, and geolocation) when scraping data from different sources including websites, databases, social media platforms, enterprise applications, or legacy systems. Context is important when the same data is later used for different purposes such as asking a new question about an existing data set. A compatibility analysis should be performed to ensure that potential sources of bias are identified, and mitigation plans made. This analysis would capture context shifts in new uses of data sets, identifying whether or how these could produce specific bias issues.