Convergence indeed! However, I felt a visceral reaction bulding when 'data-model framework' was mentioned:
The process of data-model development nearly breaks otherwise worthwhile projects, and extreme caution will be required to maintain flexibility (or repeated infliction of blunt force trauma - take your pick). Your post about ontology development touches on this (http://blog.openwetware.org/scienceintheopen/2008/04/08/semantics-in-the-real-world-part-ii-probabilistic-reasoning-on-contingent-and-dynamic-vocabularies/) because what is important is to ensure the correct terminology is used in the appropriate context to convey the meaning.

Overall, I can see this could work as a kind of federated LIMS. Models for representing experimental conditions were developed by necessity in various high-throughput communities so process records could be effectively recorded in LIMSs, and they often use an in-house vocabulary. A similar approach is possible with computational experiments, but it becomes difficult when there are a number of 'different' methods applied to the same measurement problem (especially when new methods appear on the scene), and the next analysis stage requires some consensus amongst all alternative methods to be reached. The other problem is that there are many LIMS out there, often adapted to specific research processes, so federation has its own nightmares.

Concerning Sarah Porters comments above - personal validation tools are essential at the point of data creation, and I think that internal consistency checks could also be used to detect systematic errors by an individual (who can't use scales) or group (who had a bad batch of reagent leading to consistent impurities). What the data infrastructure will need to leverage these things is facility for 'data quality trackback' to allow curation. Discussions about this have been raised in the protein annotation community (c.f. the BioSapiens work on annotation ontology in DAS), but the problem of easily managing the storage of secondary curations whilst preserving any access issues (be it intellectual property or otherwise) has not yet been elegantly solved.

All I can say is that if I were a practical student again, labs would have been even more fun if the results were a contribution to something bigger!