OntoBrowser

OntoBrowser maps code list terms from multiple systems to preferred ontology terms to support controlled terminology management and data integration across databases.

Key Features:

• Collaborative Mapping: Expert curators map code list terms from various sources to preferred ontology terms to harmonize controlled terminology.
• Visualization Capabilities: Ontologies can be rendered in hierarchical and graph formats to present structure and relationships.
• Advanced Search Functionality: Robust search enables locating specific terms or concepts within large ontology databases.
• Peer Review and Approval Workflow: A peer review and approval workflow with alerting mechanisms validates mapped terms before finalization.
• Web Service Access: Web services provide programmatic access to curated ontology data for integration with other systems.
• Facilitation of Ontology Evolution: Continuous updates and refinements support ongoing ontology evolution and maintenance.

Scientific Applications:

• Controlled Terminology Harmonization: Harmonizes code lists and controlled vocabularies across datasets to improve semantic consistency.
• Data Integration and Interoperability: Supports integration and interoperability between databases by mapping disparate terms to ontologies.
• Enhanced Search and Retrieval: Improves completeness of search results and retrieval of ontology-linked data across resources.
• Ontology Curation and Evolution: Enables curation workflows and iterative refinement of ontologies to maintain relevance.

Methodology:

Mapping of code list terms to preferred ontology terms; ontology visualization in hierarchical and graph formats; peer review and approval workflow with alerting mechanisms; web service access for data integration; and continuous updates and refinements.