The ultimate goal of CINECA's vision of a federated cloud-enabled infrastructure making population-scale genomic and biomolecular data accessible across international borders is to enable large-scale federated data analysis responsibly and securely. This will require integrating and harmonizing diverse, large human cohort data using community standards. Data harmonization within and across cohorts adds value to the data for downstream analysis and interpretation and facilitates cross-cohort meta-analysis.

This workshop aims to discuss ways to address common challenges in cohort data harmonization, share best practices, and work towards practical steps to address them. We welcome any cohort with plans for prospective or retrospective data harmonization, enthusiastic about sharing their experience and learning from others' perspectives in cohort data discovery and analysis.