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How Ingrained Biases Show Up in Data Management

colored squares arranged to read "DATA"One of the little ways I try to apply an equity lens to my work is by being very aware of my own biases, especially around race. This comes up as a practical matter more than you might expect in data management, especially if you’re working with data sets focused on individual people.

I’m sure there are more egregious examples, but one thing I’ve seen and found particularly jarring is the abbreviation “BG” in front of an ethnicity. What does BG stand for? Best Guess. In other words, whoever collected the data or set up the database structure to include these value options decided that having ethnicity data on a person was more important than their own racial/ethnic identity. This insidious little practice takes away individual autonomy and conflates ethnicity with skin color, erasing actual identity in favor of having more complete statistics.

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