Effective democracies require modern data policies that direct the country’sability to govern and hold legitimacy. Data policies offer information justice by providing formal guidelines and rules for the collection, management, protection, and disposal of public information — quantitative and qualitative. They can also bolster trust by setting oversight of information quality — ensuring accuracy and accountability. This policy domain of “data” is understudied, undervalued and underemphasized, despite the accelerated use of data against a backdrop of growing public mistrust.

The federal statistical system has long operated as background infrastructure, as something agency leaders and program managers relied on without much thought, the way they rely on relevant domains like electricity or broadband. Data from the Census Bureau, the Bureau of Labor Statistics, the Centers for Disease Control, the National Center for Education Statistics, and their counterparts across the government showed up when needed most in democracy: to justify budget requests, measure program outcomes, allocate resources and demonstrate results to oversight bodies and the public.

That infrastructure is now under serious strain with pain being felt inside and outside government, at federal, state and local levels. Earlier this year, the social science research company SSRS conducted a survey of more than 500 users of federal statistical data across academia, nonprofit organizations, state and local governments and the private sector. The core question was “have changes to the federal statistical system impacted your ability to do your work?” The findings were resounding, with 93% of respondents reporting that changes to the federal statistical system since the start of 2025 have damaged their ability to do their work. It is quite likely staff inside the government are experiencing similar difficulties.