Resource – Paper 205

The MedRed Ontology for Representing Clinical Data Acquisition Metadata

Jean-Paul Calbimonte, Fabien Dubosson, Roger Hilfiker, Alexandre Cotting and Michael Schumacher


clock_eventOctober 24, 2017, 16:30.
house Stolz 2
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Electronic Data Capture (EDC) software solutions are progressively being adopted for conducting clinical trials and studies, carried out by biomedical, pharmaceutical and health-care research teams. In this paper we present the MedRed Ontology, whose goal is to represent the metadata of these studies, using well-established standards, and reusing related vocabularies to describe essential aspects, such as validation rules, composability, or provenance. The paper describes the design principles behind the ontology and how it relates to existing models and formats used in the industry. We also reuse well-known vocabularies and W3C recommendations. Furthermore, we have validated the ontology with existing clinical studies in the context of the MedRed project, as well as a collection of metadata of well-known studies. Finally, we have made the ontology available publicly following best practices and vocabulary sharing guidelines.

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