Semantic Web eyed for life sciences data "The Semantic Web involves a concept in which data from multiple sources and ontologies can be integrated into a single information space. Experiment design automation (XDA) software vendor Teranode, which focuses on software for life sciences, plans to collaborate with Science Commons to build a neurology repository for the Semantic Web."
NeuroCommons is part of the ScienceCommons project, it is going to provide a database and annotations of scientific data in (presumably) RDF.
Teranode explains with their XDA product, why model driven and why the semantic web.
A related post, via Etymon.com Federated Databases in Science "The astronomy, chemistry, and geospatial communities were active well over a decade ago in collaborating with information scientists on federated databases through various open standards. Molecular biology is a field that currently has considerable needs in this area, stimulated by the Human Genome Project. Developing common standards through consensus is of course not a technological solution. The Web is successful because it exploits the relationships among a huge number of people making individual judgements that only people can make. Even the Semantic Web, if it ever has a chance of working, would have to depend on a very large base of common metadata standards, and that can only result from the slow process of people coming together and agreeing. There are many things that information technology cannot do on its own. The semantic integration of knowledge still remains a human activity."