Within the framework of the Big Data Initiative of the German Federal Government soventec is project partner in the BMBF project HUMIT (Human-centered support of incremental-interactive data integration using the example of high-throughput processes in the life sciences). Together with the Fraunhofer IME ScreeningPort Partner, the Fraunhofer Institute for Applied Information Technology FIT and the DZNE (German Centre for Neurodegenerative Diseases), concepts and systems are being developed to identify new drug candidates for the pharmaceutical industry. HUMIT is the only Big Data project in the life sciences to date.

In today's drug research, a rapidly and steadily increasing amount of data is generated that contains previously unused opportunities for drug candidates. A Big Data approach will help to link the multitude of heterogeneous data sources with public reference libraries. Through targeted data reduction, the project team aims to identify previously undiscovered "hits". It is also about bringing together and optimally using two great potentials: enormous computing power and human intuition. For this reason, the users of Big Data systems should also provide assessments of data quality or analysis paths. After all, people in particular can intuitively assess complex relationships better than computer systems and thus support the analysis process via partially self-learning algorithms. The overriding goal of HUMIT is to better understand the effects and side effects of substances in order to better treat complex diseases.

Humit Webpage (english)

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