title: Consensus-based construction of a taxonomy of clinical trial tasks.
abstract: The use of conceptual knowledge collections, such as taxonomies, is prevalent throughout the biomedical domain. Tools and methods to enable the computational representation of such knowledge collections are well established. However, methods for the design and construction of knowledge collections are varied and often rely on the judgments of a single, or small group of, specially trained knowledge engineers. This poster will report on a novel multi-expert consensus-based approach to the development of taxonomies that has been applied to the development of a taxonomy of clinical trial tasks and events.
authors.affiliation: Department of Biomedical Informatics, Columbia University, New York, NY, USA.
authors.forename: Philip R O
authors.initials: PR
authors.lastname: Payne
authors.forename: James R
authors.initials: JR
authors.lastname: Deitzer
authors.forename: Eneida A
authors.initials: EA
authors.lastname: Mendonca
authors.forename: Justin B
authors.initials: JB
authors.lastname: Starren
mesh_terms: D000043:Abstracting and Indexing; D002965:Classification; D002986:Clinical Trials as Topic / Q000145:classification*; D032921:Consensus; D010865:Pilot Projects; D018875:Vocabulary, Controlled