The B!SON project, realized by TIB and SLUB Dresden, implements a recommendation service for quality-assured open access journals. From the large amount of open access journals available, this system will create a list of suitable journals sorted according to thematic relevance. For this purpose, in addition to common bibliometric methods of determining similarity, machine learning methods are used, which can determine relevant publication venues based on the semantic similarity of the title or abstract of an article to be published.
The partners cooperate with OpenCitations and DOAJ (Directory of Open Access Journals) and strive for a close exchange with institutions that advise authors. Several scientific institutions support the project.
While open access publishing requirements are steadily increasing and there is a growing number of open access journals, authors often lack knowledge of relevant, quality-assured open access journals that would be suitable for publishing their own research. A freely accessible tool that can be linked to local support structures will help to make the transition to open access successful.