Specificity of the network model of innovation activity in biomedical sector in the context of protection of intellectual property

Abstract

This article aims to prove the working hypothesis, as well as determine and analyze the peculiarities of the network model of open innovation activity in biomedical sector in the context of protection of intellectual property in Russia and abroad, based on examination of the real projects implemented within the framework of this strategy by the organizations (for example, Structural Genomics Consortium) and companies (Bayer, AstraZeneca, FabRx, Biogen, Vertex Pharmaceuticals). The article employs the methods of induction and deduction, formal and dialectical logic for revealing the benefits of network cooperation and open innovation strategy, which substantiates the objective need for the business strategies, methods and mechanisms for the production and protection of scientific information and results of intellectual property in the context of development of new technologies (such, blockchain), which are discussed in the article. The relevance, theoretical and practical importance of the conducted research lie in the fact that the network “open” and traditional “closed” methods of production of the new scientific knowledge have their merits and flaws that may influence the scientific progress and innovation-driven growth. The experience of foreign institutes, scientific centers, and companies can be valuable in seeking the answers to the analogous questions associated with the development, substantiation, and recognition of collaborations based on the open innovations of the Russian Federation. The results acquired by the author are also reflected in the ideas that in the sphere of biotechnologies, the projects implemented in within the open innovations strategy may have different configurations (domestic and supranational), however pursuing a single goal –  to create a more effective specific therapy for various diseases, which would promote network collaboration, and by common consent, can be achieved via three vectors of research, while legal certainty and security can be ensured by blockchain technology.