Interactive Pay-As-You-Go-Integration of Life Science Data: The HUMIT Approach

Biomedical research applies data-intensive methods for drug discovery, such as high-content analysis, in which a huge amount of substances are investigated in a completely automated way. The increasing amount of data generated by such methods poses a major challenge for the integration and detailed analysis of the data, since, in order to gain new insights, the data need to be linked to other datasets from previous studies, similar experiments, or external data sources. Owing to its heterogeneity and complexity, however, the integration of research data is a long and tedious task. The HUMIT project aims to develop an innovative methodology for the integration of life science data, which applies an interactive and incremental approach.