Implications of US agricultural data practices for sustainable food systems research

Using the tenets of data feminism, we analyse the National Agricultural Statistics Service Quick Stats database - the primary repository of United States agricultural data. We identify unstated assumptions built into the database's scaffolding through data collection, aggregation and dissemination practices, revealing how they facilitate granular analyses of agricultural topics historically judged as national priorities while leaving unilluminated many others of vital importance for contemporary sustainability needs. We argue that this entrenches an inequitable and unsustainable food systems status quo, and we offer recommendations for data providers and users based on principles of reflexivity, context and pluralism. Assumptions built into databases may influence research outcomes and practices. This Perspective identifies and analyses public agricultural data practices in the United States as an under-recognized lever for transformative food systems change.

Automated summary

Using data feminism, this study examines the National Agricultural Statistics Service Quick Stats database, revealing the unstated assumptions in data collection, aggregation, and dissemination practices. These assumptions prioritize certain agricultural topics while neglecting others crucial for contemporary sustainability. The study argues that this perpetuates an inequitable and unsustainable food systems status quo and suggests recommendations for data providers and users based on reflexivity, context, and pluralism.