Artificial Intelligence and the Fight Against COVID-19

Datasets analysed in a paper mapping AI research activity against COVID-19. Includes:<br><b>-rxiv metadata:</b> A dataset with metadata about 1.8m papers from arXiv, biorXiv and medrXiv as of end May 2020 enriched with dummies about whether the papers are related to AI and/or COVID-19 research (<i>updated 22/06/2020 to fix some ids)</i><br><br><b>-rxi_geo:</b> A dataset with geographical metadata for papers based on the institutional affiliations of their authors after matching with the GRID database.<br><b>-covid_semantic:</b> A dataset with topic information about COVID-19 papers based on a semantic analysis of their abstracts, including the clusters where papers have been classified and their topic mixes (<i>updated 22/06/2020 to fix some ids).</i><br><b>-citation_metadata:</b> Two JSON objects. One contains a lookup between COVID-19 related papers in the rXiv corpus and the papers they cite. Another contains metadata about the cited papers including their fields of study.<br><b>-mag_fos: </b>A dataset with the Microsoft Academic Graph field of study hierarchy we use in our analysis (added 22 June 2020)<br>Each zipped folder includes a data dictionary.<br>For information about data processing and analysis in: https://github.com/nestauk/ai_covid_19