The samples post ended on seating a data steward. This is what you build around that seat in a regulated life sciences org: the roles you actually need, the order to do it in, and why the regulation is the only budget argument that ever works.
Someone asked how many samples we have and three systems gave three different numbers. The dependency order behind vocabulary, ontology, semantic layers, catalogs, and contracts, and why the piece everything stands on is a role most orgs never seat: the data steward.
Enterprise data strategy has moved its destination from ‘break the silos’ to ‘vectorize everything.’ The step in between is the layer that makes vectors actually work, and it’s the one most roadmaps quietly skip.