After Covid-19, The US Statistical System Needs to Change.

Area of Science:

• Data Science
• Public Policy
• Information Science

Background:

• Current public data infrastructure lacks accessibility and democratic principles.
• There is a growing need for equitable access to public data.

Purpose of the Study:

• To propose a new model for public data infrastructure.
• To advocate for a more democratic and inclusive data ecosystem.

Main Methods:

• Conceptual analysis of existing data infrastructure.
• Review of principles for democratic governance.
• Framework development for a new public data infrastructure.

Main Results:

• Identified key limitations in current data infrastructure.
• Outlined core principles for a democratic data infrastructure.
• Proposed a framework for a more equitable public data system.

Conclusions:

• A new, democratic public data infrastructure is essential.
• Implementing such a system requires a shift in governance and accessibility.
• This approach can foster greater public trust and participation in data utilization.