The shift from a reductionistic towards a systems view is a key topic in Life Sciences.This automatically highlights the importance of analytical methodologies to measure and map living systems by analyzing various biological levels in various specimen such as cells, blood, urine, saliva, breath etc.Omics-techniques have contributed enormously in recent years to gather large datasets on various states of biological systems.However, important challenges exist from identification of components in metabolomics experiments to connecting information of different biochemical levels.System-based approaches mean that understanding the intercormectivity of systems and the organizing principles are of major importance.In addition it becomes evident that measuring and afterwards evaluating data can become much less effective if a systems-based design is lacking.The latter is challenging as most expertise has been build in the domain of disease management and not in the domain of health promotion.The latter is becoming a major focus as health care cost rise to a level that cannot be paid by society anymore and aiming at prevention becomes essential.