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Semantic Infrastructure 2.0 needs to address metadata and terminology related requirements from the life sciences domain. This will enable interoperability both between different sub-domains within life sciences, and between life sciences and other domains in caBIG® such as clinical trials and electronic health records. While life sciences will leverage common semantic functionalities such as ECCF registry, modeling, forms, behavioral semantics, terminology and value sets, there are aspects specific to the domain that need to be addressed, including but not limited to:

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This is a scenario based on evaluating and enriching the NanoParticle Ontology (NPO), an ontology which is being developed at Washington University in St. Louis to serve as a reference source of controlled vocabularies and terminologies in cancer nanotechnology research. Concepts in the NPO have their instances in the data represented in a database or in literature. In a database, these instances include field names, field entries, or both for the data model. NPO represents the knowledge supporting unambiguous annotation and semantic interpretation of data in a database or in the literature. To expedite the development of NPO, object models must be developed to capture the concepts and inter-concept relationships from the literature. Minimum information standards should provide guidelines for developing these object models, so the minimum information is also captured for representation in the NPO.

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