Data Science and Cohorts

In Utrecht, we have a large number of uniquely valuable datasets, specifically focused on cohort studies.

In all fields of research, large quantities of data are generated with great potential.  In order to tap into the potential of this data, it needs to be Findable, Accessible, Interoperable and Reusable (FAIR). For other researchers, but increasingly also for data scientists probing multiple datasets for answers. In Utrecht, we have a large number of uniquely valuable datasets, specifically focused on cohort studies. Such datasets, often spanning a larger timespan, can prove invaluable for medical research. We strive towards integrated accessible data-infrastructure and collections. Our data scientists study the safe (privacy compliant) (re)use of data from large data collections related to (planetary) well-being, health, and care in order to perform research, innovation and implementation to address societal challenges.

Data Science in Utrecht

Data Science is intertwined with nearly all life science research in Utrecht. From various perspectives, Utrecht researchers are working on a better understanding of the availability, usability, and application domains of data. They come together in the thematic community of Data Science and Cohorts. Just before the first meeting of the community board, we speak with Professor Carl Moons and Associate Professor Miel Hostens, chair and vice-chair of the newly founded community, about their mutual ambitions.

Interview introducing a new community

Data Science and Cohorts board

Board members play an active role in facilitating strategic positioning and visibility of the community. Selected from a cross-section of the community, they are positioned to bring talented people together and to stimulate multidisciplinary research that help to strengthen the community.