BY: EKREM KAYA
Hey! My name is Ekrem Kaya. I am a high school student with a great passion for science and research. Recently, I've started writing blogs about scientific topics and making information from trusted sources readily available.
Since the emergence of COVID-19 in Wuhan City, the whole world has been attempting to treat the disease and ultimately eradicate it. Hundreds of scientists and researchers are hard at work trying to rid the world of this disease. There are already thousands of completed studies with diverse conclusions and thousands still going on today. In order for the scientific community to have a better response to COVID-19 and for the U.S. to have a better plan dealing with it, the White House has ordered for the formation of a public database with the most up to date research and data on the coronavirus with over 45,000 articles called the COVID-19 Open Research Dataset(CORD-19).
Hosted by Kaggle, CORD-19 was formed with the help of Allen Institute, Microsoft, the National Library of Medicine, GeorgeTown University, and the WHO. In addition to having a large pool of scientific articles on COVID-19, all of the data in the dataset is machine readable thanks to the efforts of the Allen Institute.
Machine readable data makes life a lot easier for scientists by allowing extended analysis of data and aiding in drawing connections between otherwise unrelated pieces of info. The White House and all of the other contributors intend to use machine learning and data mining to answer the scientific community's specific and challenging questions regarding the novel coronavirus.