About the data sources

Corona Data Scraper pulls information from a variety of openly available world government data sources and curated datasets.

Ratings have nothing to do with the accuracy of the data

The ratings for the data sources here are based on how machine-readable, complete, and granular their data is — not on the accuracy or reliability of the information. We’re using a rating system like this because we’re trying to make governments more accountable for their data practices.

Take a look at the code to learn more about how the rating system works.

Questions about a source’s rating?

We’d like to hear from you and help you make your source more complete. Reach out to us on on Slack or file an issue on Github.

What does a good source look like?

First, please have a look at our example format.
As the data itself is most important, please publish cumulative counts for cases, deaths, hospitalized, discharged, recovered, and total tests administered. If you cannot publish in JSON or CSV, at a minimum, please include a HTML <table> with one row per locality at the most granular level you have.
Have a column for the name of this locality, and a column for each additional data point.
The best published sources include timestamps, allowing citizens and researchers alike better understand the data you have, over time, within your specific geographic region(s).