Posted by: bluesyemre | April 4, 2020

#DATA in the time of #COVID-19


The current COVID-19 pandemic raises important questions about opening, sharing and using data, and highlights the challenges associated with data use. To address the ongoing need for data-driven decision making, Open Data Watch has put together some of the most helpful articles we’ve found, organized by the stages of the data value chain: availability, openness, dissemination, and use and uptake. These will be updated as new information becomes available and new resources will be noted with each update by the text *New*. The date of publication is listed beside each article; however, dates are not shown for dashboards and data sources that are dynamically updated.

If you know of something more to add, please contact us.

Modeling the spread and understanding the limitations of modeling

The US and the UK were first moved to action on COVID-19 by models from the Imperial College London and now we are seeing more aggressive actions in response to the White House’s new models for COVID-19 that were released on 31 March. Models, however, are only as good as the data and assumptions programmed into them and so the world is also being cautioned to not take their estimates as predictions of the future but guides to how actions taken can affect the spread of COVID-19. And with the release of results from these models come renewed calls for testing and better data on COVID-19 to improve them.

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