Turbine Labs announced a data integration and collaboration with Tableau to support the massive amount of COVID-19-related data. Tableau built the COVID-19 Data Hub to help academics, public health experts, data scientists, and other organizations stay informed and make data-driven decisions related to the pandemic. Turbine Labs is participating in the effort by providing the Tableau community high-quality news coverage and data enrichments across dozens of categories that can be used as a standalone analysis tool or in combination with other data partners, including the World Health Organization, Johns Hopkins University, the Centers for Disease Control and Prevention (CDC), and others. Tableau and the participating data partners are providing access to both the visualizations as well as the data sources to the public at no charge. Turbine Lab’s custom visualization serves as a resource to show the volume of articles by topic each day with the option to filter by keyword or to drill down on topics that are of interest or importance to effectively cut through the intensified “noise” of the media to better identify content and topics that are trending and relevant within the news cycle. Using data from the COVID-19 Data Set allows journalists, researchers and other covering or monitoring COVID-19 to be able to: Analyze daily breaking news and identify trends, including how stories develop over time through earned media; Identify and group keywords and phrases using machine learning; Understand the timelines and trends, including the development and end of trending stories frequently used by media outlets covering the pandemic; Understand the total coverage of each story and analyze for an entire newsroom; See where there is a deficiency or need in coverage, like public health needs, and base editorial direction based on trends; Visual representation of coronavirus through different topic and content lenses.