Abstract
We argue that by using existing data and sharing research in a databank, RHM scholars can practice a research habit that conserves and optimizes intellectual and institutional resources. When possible, by using existing datasets, scholars avoid data waste, that is ignoring or bypassing existing data. The data distinctions that we call attention to—derived, compiled, and designed—account for various ethical and rhetorical concerns regarding privacy and confidentiality, expected context, and consent. Equally important to the aforementioned data deliberations we explore, collecting and managing shared RHM data in a databank, while possible, are not without ethical, logistical, and rhetorical difficulties.