Communicating Science: Reform Model of the Gates Open Research Platform

The EU's scientific potential is increasingly flowing into the world of new scientific knowledge. The object of this paper is the communication interpretation of the Open Science policy, covering not only access and storage of scientific information and preservation of scientific information, but communication aspects also. Purpose of the study: Establish modern trends in the scientific ecosystem oriented towards facilitating the publication and communication of scientific results. Tasks of the study: Compare new solutions in science communication models in the most popular platforms, and explore what is the alternative to traditional scientific journals. Methodology/approach: The qualitative systematic review (qualitative evidence synthesis), scientific criticism of sociological surveys, methods of analytic and synthetic processing of primary and secondary resources, secondary data analysis and overview of scientific publications available in the libraries worldwide, have been used to obtain data about the impact of new EU solutions: the European Road Map for development of the European Research Area (ERA), the European Strategy Forum for Research Infrastructures (ESFRI), the Organization for Economic Cooperation and Development, etc. A comparative analysis of innovation in publishing platforms was conducted with special attention to the Bill and Melinda Gates Foundation's Gates Open Research platform. Results: The creators of the Gates Open Research platform defend the view of the rapid and socially beneficial effect of new and publicly-accepted scientific knowledge. The cutting-edge solutions are: transfer power from the hands of editors to the hands of the authors; minimize barriers or gatekeepers on the path of the new scientific outcome for society; assessment of the research not in view of the venue of publication but on the basis of the intrinsic value of the completed study; minimize the funds invested in publishing and dissemination. Implications: The conclusions can be important in identifying technological and ideological regularities for optimizing the model of scientific publications and increasing the speed and visibility of any scientific news.