COVID-19 Brings Data Equity Challenges to the Fore

The COVID-19 pandemic is compelling us to make crucial data-driven decisions quickly, bringing together diverse and unreliable sources of information without the usual quality control mechanisms we may employ. These are consequential at multiple levels: They can inform local, state, national government policy, be used schedule access physical resources such as elevators workspaces within an organization, contact tracing quarantine actions for individuals. In all these cases, significant inequities likely arise propagated reinforced by decision systems. this article, propose a framework, called FIDES, surfacing reasoning about data equity in