Life science data interoperability resources kick off collaboration
In the life sciences, users are faced with a choice of multiple resources to facilitate and promote the use of standards, policies, models, identifiers, databases, tools, services, and ontologies. Some of these resources are well established while others are less mature and, although the scope of each is quite specific, there is potential overlap.


