Organization is a component of Information Architecture that deals with system content classification. In electronic journals, organization impacts user interaction with the content and the visibility of published articles. Thus, the objective of this article is to verify how the organization systems of electronic scientific journals work. For the analysis, three journals of relevance to science and with high impact factors in the multidisciplinary area were selected: Nature, Science and PLOS Biology. The method chosen was the inspection by checklist, which was performed through the test sentences, described with basis on reference authors in the area. The analysis considered if organizational schemas divide information into defined and unique sections when used in journals, and if they support an associative learning process that enables the user to make new connections. It was also verified if the structures used in journals organize the content into logical groupings and benefit the research, navigation, filtering and linking of the information. In addition to the traditional schema and organizational structures, the study also verifies if journals present alternative ways of classifying digital information based on the collaborative content organization generated from user tags. As results, the research presents the mapping of the organization systems of the journals that were analyzed. These results can be applied to improve other scientific journals and their systems.
