The Summer School will consist of plenary presentations and interactive small-group exercises, according to the Problem-Based Learning methodology. The first part of the School (September, 18-20) will provide participants with useful tools and methodologies for establish a registry, the quality of the data collected and how a registry is turned into a FAIR resource. The second part (September 21-22) will be a hands-on experience (bring your own data), where the attendees work with FAIR data experts to make their data FAIR and linkable to other data that has been made FAIR before.

The workshop will focus on solutions for collecting and analysing huge data sets, including the identification of rare and common genetic variants associated with disease, functional evaluation of genetic variation, understanding of gene networks and epigenomic phenomena in health and disease, pharmacogenomics, gene-gene and gene-environment interactions.