Deliver IT standards and infrastructure for IHCC to enable population-scale genomic and biomolecular data accessible across international borders.
Create a federated solution with one or two central hubs for discovery across the IHCC network. The solution would contain:
Federated data discovery/authentication alignment
Interoperability / harmonization of data
Cohort level metadata representation
Federated research analyses
Findable, Accessible, Interoperable, Reusable (FAIR) data analyses
Ethical, Legal and Social Implications (ELSI) of data sharing
Create an Atlas. A barrier to enhanced reuse is finding the data from the queries of users (researchers, clinicians). An Atlas is a short-term solution in which high-level metadata queries can be conducted with an interactive, searchable database that is updated from cohorts regularly.
Create a harmonized cohort metadata by first understanding the complexity of metadata in IHCC, and next creating semantic harmonization using established semantic mapping techniques, e.g.:
International Statistical Classification of Diseases and Related Problems (ICD10)