Cohorts follow populations with common characteristics over time, in order to identify the occurrence of health events of interest (disease or dysfunction in the body).
These exceptional observation tools are based on individual data collected over a long period of time, which can be mobilised for health research and studies.
However, in a growing context of massive and heterogeneous data, systematic data collection and data openness, health cohorts face a number of challenges.
These relate to the protection of privacy, data sharing, the integration and maintenance of technical monitoring tools and high-performance IT systems and, more generally, their sustainability, as the value of a cohort tends to emerge over time.