Earlier this week, Kaggle released a new dataset challenge in response to White House’s Call to Action: the COVID-19 Open Research Dataset Challenge.
Research papers about coronavirus is wildly growing. There are over 29,000 publications in the dataset. It is hard for medical professionals to manually digest these papers and extract useful insights in support of the fight against the infectious disease. With the launch of COVID-19 Open Research Dataset Challenge, the hope is to leverage modern AI technologies, e.g. natural language processing, to help medical professionals find answers to high priority questions.
Here is a list of resources available to help tackle the challenge. If you observe anything missing, please post in the comments section.
- COVID-19 Open Research Dataset Challenge on Kaggle
- Look at the data thorough an exploratory data analysis
- cord-19-tools – Python Tools for making COVID 19 data slightly easier to parse.
- A list of coronavirus datasets