In addition to the technical obstacles, scientific publishers hinder literature mining essentially by hiding publications behind paywalls and limiting the number of publications that can be downloaded and used even if a subscription is available. Some publishers like Elsevier offer markup versions of their publications for text mining purposes to academic researchers [105], but there is a long way to go to truly make all published chemical information available. In 2018, an international group of research funders announced the initiative Plan S which requires scientists who benefit from their funding to publish in open-access journals . Recently, the US government announced that they will require all publicly funded research to be openly accessible from 2026 on . With RDM e-infrastructures being established as the mandatory scientific data publication standard, the kind of literature mining methods described herein will become obsolete in the future. For now, they are indispensable for artificially intelligent data-driven applications.