This analysis applies the Federal Committee on Statistical Methodology's Data Quality Framework to assess the data quality of federal data for understanding and responding to the COVID-19 pandemic, focusing on five COVID-19 indicators: testing, cases, hospitalizations, deaths, and vaccinations. These are assessed over six specific dimensions of data quality: granularity, accessibility, timeliness, coherence, accuracy and reliability, and credibility, resulting in a rating of "does not meet criteria", "partially meets criteria", or "meets criteria" for each indicator and dimension. Major federal platforms for sharing COVID-19 data with the public are also reviewed. Optimal indicators are identified for different applications and recommendations are made to improve the quality of federal COVID-19 data.
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