Understanding progress in software citation: a study of software citation in the CORD-19 corpus.

ABSTRACT: In this paper, we investigate progress toward improved software citation by examining current software citation practices. We first introduce our machine learning based data pipeline that extracts software mentions from the CORD-19 corpus, a regularly updated collection of more than 280,000 scholarly articles on COVID-19 and related historical coronaviruses. We then closely examine a stratified sample of extracted software mentions from recent CORD-19 publications to understand the status of software citation. We also searched online for the mentioned software projects and their citation requests. We evaluate both practices of referencing software in publications and making software citable in comparison with earlier findings and recent advocacy recommendations. We found increased mentions

SUBMITTER: Du C 

PROVIDER: S-EPMC9454791 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature