The article describes data processing as a curatorial process rather than a neutral technical task, and argues that values and biases are encoded at every stage of the data lifecycle. To safeguard against ethical failures like those seen at OkCupid and Amazon, the article proposes implementing within data processing a framework centered on dignity, autonomy, necessity, and the common good. Finally, the article encourages data practitioners to interrogate the "why" behind ever