Expectations and boundaries for Big Data approaches in social medicine

But to be able to consider together or to link different databases it will be necessary to know how to handle this diversity regarding hypotheses made to build databases and regarding their purposes (by whom, for what bases have been made). It will be equally important to question the representativeness of situations that led to the creation of a database and to question the validity of information and data according to the secondary or tertiary uses anticipated from their original purpose. This step of data validity control for the anticipated use is a sine qua non condition, particularly in the field of public health, to guarantee a sufficient level of quality and exploit in the best way the benefits of Big Data approaches.