title: Research-IQ: development and evaluation of an ontology-anchored integrative query tool.
abstract: Investigators in the translational research and systems medicine domains require highly usable, efficient and integrative tools and methods that allow for the navigation of and reasoning over emerging large-scale data sets. Such resources must cover a spectrum of granularity from bio-molecules to population phenotypes. Given such information needs, we report upon the initial design and evaluation of an ontology-anchored integrative query tool, Research-IQ, which employs a combination of conceptual knowledge engineering and information retrieval techniques to enable the intuitive and rapid construction of queries, in terms of semi-structured textual propositions, that can subsequently be applied to integrative data sets. Our initial results, based upon both quantitative and qualitative evaluations of the efficacy and usability of Research-IQ, demonstrate its potential to increase clinical and translational research throughput.
authors.affiliation: The Ohio State University, Department of Biomedical Informatics, 3190 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, USA. Electronic address: tara.borlawsky@osumc.edu.
authors.forename: Tara B
authors.initials: TB
authors.lastname: Borlawsky
authors.affiliation: The Ohio State University, Department of Biomedical Informatics, 3190 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, USA. Electronic address: omkar.lele@osumc.edu.
authors.forename: Omkar
authors.initials: O
authors.lastname: Lele
authors.affiliation: The Ohio State University, Department of Biomedical Informatics, 3190 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, USA. Electronic address: philip.payne@osumc.edu.
authors.forename: Philip R O
authors.initials: PRO
authors.lastname: Payne
mesh_terms: D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods*; D010641:Phenotype; D012984:Software; D057170:Translational Research, Biomedical