Scientists are rushing against the clock to answer pressing questions about the nature of the virus in hopes of stemming its spread. To accelerate scientific research, multiple initiatives have been launched, in order to compile every research papers on the subject in one place and make the body of literature easier to mine and process by algorithms. Here are some examples:
Litcovid is a curated literature hub providing central access to up-to-date articles on the 2019 Coronavirus in Pubmed. It provides access to 2,026 research articles (as of March 30). The articles are updated daily and are further categorized by different research topics, geographic locations and journals.
COVID-19 Open Research Dataset (CORD-19) is a free resource of over 44,000 scholarly articles – including over 29,000 with full text – about COVID-19 and the coronavirus family of viruses (LitCovid is a subset of CORD-19). It is developed by the Allen Institute for AI and gathers COVID-19 and coronavirus-related research from the following sources:
- PubMed’s PMC open access corpus using this query;
- Additional COVID-19 research articles from a corpus maintained by the WHO;
- bioRxiv and medRxiv pre-prints using the same query as PMC.
The goal of the dataset is to spur the advancement of new insights applying data mining and machine intelligence. The corpus is updated weekly as new research is published.