# Race Race is a social construct that categorizes individuals based on perceived physical differences, such as skin color, facial features, and hair texture. These categories have historically been used to establish and justify systems of power, privilege, and inequality. While race lacks a biological basis, it significantly influences social identity and experiences, shaping interactions and opportunities within societies. In the context of data, race is a critical variable that requires careful consideration to avoid reinforcing biases. Accurate and ethical handling of racial data is essential for promoting equity and understanding disparities in various domains, including health, education, and employment. For more information about recent race research, please consult the following resources: * [WorldCat](https://search.worldcat.org/search?&offset=1&q=Recent+studies+about+data+and+data+governance+and+Race) * [Consensus](https://consensus.app/results/?synthesize=off&copilot=off&q=Recent+studies+about+data+and+data+governance+and+Race) * [Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Recent+studies+about+data+and+data+governance+and+Race) Our research team, partners, and the extended Network of the Datasphere have identified the following organizations working at the intersection of data or data governance and race. We recognize this is a dynamic field and would appreciate your help to [[contact our research team|improve]] this resource.