We do not have a semantic web as such yet and instead have a collection of semantic web technologies. These technologies have recently started to deliver on their promise of an interoperable world particularly in data driven initiatives that integrate data management with its analysis. In this presentation we will describe our own travails with identifying and putting to use data driven representations of biomolecular repositories for biomarker studies. The examples will include user-driven “incubation” of data models using a software prototype that manages their representation as dyadic predicates (s3db.org). This solution falls into the generic W3C’s Resource Description Framework (RDF). As this prototype is used by other groups as the server-side partner of client-side computational statistics applications we find that cloud computing presents a better solution for deployment of web data services. The different models of cloud computing will be briefly overviewed in the life sciences context.