The idea? Put publicly available datasets all in one place so it’s easier for researchers to do text mining and analysis on over 19 million academic articles. The CORD-19 dataset, a full-text and metadata dataset of COVID-19 and coronavirus-related research articles, is included. Amy Kirchhoff is the Text and Data Mining Business Manager at ITHAKA, the company that runs popular academic research site JSTOR. Kirchhoff is also an Archive Service Product Manager at Portico, ITHAKA’s content preservation archive. She leads a team building a new service to allow users to mine datasets related to COVID-19 research along with a host of other related data and published papers. “We are building a text mining service,” Kirchhoff says of the new program, which allows customized searches of aggregated datasets related to the novel coronavirus outbreak.