Journals to trial tool that automatically flags reproducibility and transparency issues in papers | News | Chemistry World

"A tool using natural language processing and machine learning algorithms is being rolled-out on journals to automatically flag reproducibility, transparency and authorship problems in scientific papers. The tool, Ripeta, has existed since 2017 and has already been run on millions of journal papers following its release, but now the tool’s creators have enabled its latest versions to be run on papers before peer review. In August, Ripeta was integrated with the widekly used manuscript submission system Editorial Manager in a bid to identify shortcomings in papers before they are sent out to peer review at journals. At this stage the tool’s creators won’t disclose which journals are using Ripeta, citing commercial confidentiality. Ripeta sifts through papers to identify ‘trust markers’ for papers such as whether they contain data and code availability statements, open access statements, as well as ethical approvals, author contributions, repository notices and funding declarations. From October 2022, the technology behind Ripeta was also integrated in the scholarly database Dimensions, giving users access to metadata about trust markers – for a fee – in 33 million academic papers published since 2010...."