FAIRification for a large-scale life science research requires FAIRifying of all aspects: data, tools, standards, training, and hardware infrastructure. Cloud computing has emerged as a key infrastructure that calls for interoperability of softwares to facilitate data retrieval and processes that are dispersed across multiple sites.

The FAIRification process presents itself with specific commonly asked questions ranging from identification of the right ontologies/ schemas/ semantic web structures, mapping identifiers and cross referencing, retrospective data curation, and prospective sustainable FAIR process curation.