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These Mayo Clinic units are in the process of deploying LexEVS for terminology hosting and management. The project will eventually migrate to the GE Qualibria platform, which also uses LexEVS. This is an example of industry partners engaged in the development and commercialization of NCI open source tooling.

McGill University Health Center, Canada

McGill is connected to the TRANSFoRm project for European health care reform. LexEVS was chosen as the terminology server for the project, but a new loader is required in support of the ATC terminology. The VKC is currently working with them on the development of the ATC loader, which includes requirements gathering, coding, testing, and documentation. This represents an example where a project-specific use case provided by a customer is used as the basis for collaborative development of an open source contribution.

Seoul National University, Korea

The Biomedical Knowledge Engineering (BiKE) lab adopted the 2005 version of the LexGrid model and over the last several years created an entire terminology-based application suite on that model. The VKC is currently working with BiKE to finalize an agreement under which they would provide to us the source code for a terminology mapping UI that was developed as part of their project. This would be a potentially significant contribution, as it would add a new tool in an area with a known gap in the current functionality of LexEVS.

McGill University Health Center, Canada

McGill is connected to the TRANSFoRm project for European health care reform. LexEVS was chosen as the terminology server for the project, but a new loader is required in support of the ATC terminology. The VKC is currently working with them on the development of the ATC loader, which includes requirements gathering, coding, testing, and documentation. This represents an example where a project-specific use case provided by a customer is used as the basis for collaborative development of an open source contribution.

Nanotechnology

Nanotechnology, and more specifically nanomedicine, has become important in the development of reagents for cancer detection and treatment. NCI established Cancer Centers of Nanotechnology Excellence (CCNE) to support translational nanomedical research. EVS provides assistance in curating concept definitions with the community, making them available in NCIt; a glossary of these terms also is provided within the caNanoLab application (see below).

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EVS has worked with the OBO Foundry group since around 2005 to develop shared principles for open ontologies. NCI Thesaurus is designated as an Application ontology, since it uses and references domain ontologies within the OBO Foundry group. EVS makes several of the OBO Foundry ontologies available through LexEVS for caBIG® use. (For more information, visit the OBO Foundry website.)

Stanford/National Center for Biomedical Ontology (NCBO)

NCBO bases its BioPortal terminology services on LexEVS. NCIt is generally at or near the top of the NCBO ontology use chart (see section 3 above). NCBO and EVS maintain ongoing coordination and harmonization efforts through both caBIG® and other channels. For example, NCBO participates in the VCDE working group on Representing Terminology Metadata, which is adapting work begun by NCBO in this area for use by NCI and NCRI. NCBO also makes its terminologies available through caGrid.

NCBO built its NCBO BioPortal ontology services on top of LexEVS, supporting a very wide collection of ontologies that are actively used in biomedicine. This is an example of how two federally-funded groups are working together on the development of resources that will benefit the biomedical terminology community.

University of Pittsburgh

Pittsburgh uses the NCI Thesaurus cancer, anatomy, and pathology findings terminologies for their research and informatics projects. The ODIE project is used by the University of Pittsburgh, University of California, San Diego, and Children's Hospital, Boston. This collaboration has resulted in the publication of two papers in peer-reviewed journals so far:

1. Tobias J, Chilukuri R, Komatsoulis GA, Mohantry S, Sioutos N, et al: The CAP Cancer Protocols-A Case Study of caCORE Based Data Standards Implementation to Integrate with the Cancer Biomedical Informatics Grid. BMC Medical Informatics Decision Making, 20; 6:25, 2006.
2. Liu K, Chapman WW, Savova G, Chute CG, Sioutos N, Crowley RS:Effectiveness of Lexico-syntactic Pattern Matching for Ontology Enrichment with Clinical Documents. Methods Inf Med. 2010: 8;49(6).

Stanford/National Center for Biomedical Ontology (NCBO)

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Washington University

Washington University uses LexEVS and EVS terminology content in its clinical data warehouse project (CIDER). Washington University deployed LexEVS in 2008 as the terminology server for CIDER. The terminologies are used to code data and for information retrieval. This is an example of an academic medical center adopting NCI EVS technology to support research and clinical enterprise infrastructure.

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