17 research tasks and a growing collection of scientific papers and structured full-text documents regarding Covid-19 and historical coronavirus research. Metadata and structured text facilitate the development of information retrieval and text mining systems.
Use Cases
- Build information retrieval systems using the structured full-text papers to answer specific clinical questions.
- Perform metadata analysis to track the evolution and citation networks of coronavirus research.
- Develop text mining models to extract entities and relationships from the scientific literature using the structured text.
Strengths
- Includes structured full-text papers for automated parsing and information extraction.
- Contains metadata for all included scientific publications to facilitate bibliographic analysis.
- Addresses 17 specific open research questions defined by the Kaggle CORD-19 research challenge.
- Covers both contemporary Covid-19 data and historical coronavirus research dating back years.