big data in chemistry + informatics = chemoinformatics
The increasing volume of biomedical data in chemistry and life sciences requires development of new methods and approaches for their analysis. This growth contributes to the increasing size of the market for big data, which currently develops six times faster than the overall IT sector, that itself is the driving force for our Information Age era. However, the specialized educational programmes in this area are currently limited and fragmented thus restraining its development.
The BIGCHEM project was a Horizon 2020 Marie Skłodowska-Curie Innovative Training Network - European Industrial Doctorate, started 01-01-2016 and finished 31-12-2019, providing innovative education in large chemical data analysis. The innovative research program was implemented with the target users, large pharma companies and SMEs, which generated and analyzed large chemical data as well as promoted technology transfer from academy to industry.
The project publications and citations are accessible here. On the moment of the final report submission (28.02.2020) one project article was listed as "hot" and four articles were "highly cited" according to the Web of Knowledge. See also special issue Big Data in Chemistry in J. Cheminformatics.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 676434.