“With the world fixated on COVID-19, the WHO has warned that the pandemic response has also been accompanied by an infodemic: overabundance of information, ranging from demonstrably false to accurate. Alas, the infodemic phenomenon has extended to articles in scientific journals, including prestigious medical outlets such as The Lancet and NEJM. The rapid reviews and publication speed for COVID-19 papers has surprised many, including practicing physicians, for whom the guidance is intended….
The Allen Institute for AI (AI2) and Semantic Scholar launched the COVID-19 Open Research Dataset (CORD-19), a growing corpus of papers (currently 130,000 abstracts plus full-text papers being used by multiple research groups) that are related to past and present coronaviruses.
Using this data, AI2, working with the University of Washington, released a tool called SciSight, an AI-powered graph visualization tool enabling quick and intuitive exploration
of associations between biomedical entities such as proteins, genes, cells, drugs, diseases, and patient characteristics as well as between different research groups working in the field. It helps foster collaborations and discovery as well as reduce redundancy….
The research community and scientific publishers working together need to develop and make accessible open-source software tools to permit the dual-track submission discussed above. Repositories such as Github are a start….”