Summary On January 22, 2020, Johns Hopkins University launched its online COVID-19 dashboard to track in real time what began in December as the regional outbreak of a novel coronavirus first identified in Wuhan, China. The dashboard and its format were quickly adopted by other organizations, making global, national, and regional data on the pandemic available to all. The wealth of data freely offered in this way was collected by syndromic programs whose precise algorithms search official and popular sources for data on COVID-19 and other diseases. The dashboard signals a new phase in the maturation of the “digital revolution” from paper resources and, in their popular employ, a “democratizion” of data and their presentation. This perspective thus uses the COVID-19 experience as an example of the effect of this digital revolution on both expert and popular audiences. Understanding it permits a broader perspective on not simply the pandemic but also the cultural and socioeconomic context in which it has occurred., The bigger picture Availability of data during the current pandemic has been facilitated by open access databases summarized in dashboard maps, tables, and charts. This provided an unprecedented opportunity for not only academic research but popular reportage. Dashboard data have increasingly been joined to demographic data provided by census and other digitally stored socioeconomic data in a manner permitting journalists and researchers to analyze local and regional outbreaks and the demographics that have propelled specific outbreaks. This democratization has permitted unprecedented public exposure to the realities of the pandemic, and its propellants, at every scale. In the future, the likelihood is that the type of deep investigation of an epidemic or pandemic will be as much a matter of journalistic examination as it has been, in the past, of professional research. What once took perhaps a year for analysis and journal publication is now occurring over weeks of public analysis. The effect has been immense on the public presentation of pandemic news and the realities of local outbreaks. Its focus on socioeconomic forces encouraging intense local outbreaks—for example, in long-term facilities—are arguments for political focus on structural failures in the social safety net. This is revolutionary and … evolutionary. It is the newest phase of a “digital revolution” begun in the 1960s and a long history in public health explorations of disease events and the socioeconomic sources that propel them. For the latter, books like my Cartographies of Disease: Maps, Mapping and Medicine or Disease Maps: Epidemics on the Ground attempt to both trace the history of epidemics through their mapping and public data from yellow fever (in the 18th century) and cholera (in the 19th century) through this century’s Ebola epidemic in West Africa., Beginning in early 2020, new systems of data collection were reported as public data in a series of dashboards that have tracked the progress of COVID-19 and its variants internationally and nationally. The unprecedented presentation of disease-related data permitted academics, bureaucrats, and public reporters to not only report on the evolving pandemic at various scales but use local, regional, and national databases to consider the causes of local outbreaks. This marked both an evolution in the so-called data revolution, begun in the 1960s, and the public availability of previously hard to collect health data.