  Cannabinoid research requires the cooperation of experts from various field
biochemistry and chemistry to psychological and social sciences. The data that
have to be managed and analysed are highly heterogeneous, especially because
they are provided by a very diverse range of sources. A number of approaches
focused on data collection and the corresponding analysis, restricting the
scope to a sub-domain. Our goal is to elaborate a solution that would allow for
automated management and analysis of heterogeneous data within the complete
cannabinoids domain. The corresponding integration of diverse data sources
would increase the quality and preciseness of the analysis. In this paper, we
introduce the core ideas of the proposed framework as well as present the
implemented prototype of a cannabinoids data platform.
