What makes data science so relevant is not only its unparalleled ubiquity and enormous scope, but its potential to improve life and decision-making across a wide variety of areas. Consequently, as data-driven decision-making becomes more commonplace, having the skills to understand and make sense of data can provide a sense of power to the larger citizenry – or conversely, a sense of powerlessness to communities without these skills. This “Data Divide” separates communities that have access to devices and services that provide rich, data-driven services from those that don’t; it separates data-savvy individuals, and communities that have understanding and awareness of how their data is being collected and used to provide individualized services (and thus informed protections), from those that do not. The economic and social consequences of the Data Divide stratify populations, and severely limit the opportunities of those who are unable to take advantage of the data revolution.