Considerations for Ensuring Data Aggregation Is as Inclusive as Possible

Jonathan Schwabish and Alice Feng, Urban Institute

Considerations for researchers and data analysts to ensure they approach their work through a lens of diversity, equity, and inclusion. A one-size-fits-all method for data aggregation doesn’t exist, so instead of prescribing specific recommendations, we highlight key considerations for how to thoughtfully work with and present data.