The MedRed ontology for representing clinical data acquisition metadata

Calbimonte, Jean-Paul (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Dubosson, Fabien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Hilfiker, Roger (School of Health Sciences, HES-SO Valais-Wallis) ; Cotting, Alexandre (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Schumacher, Michael (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

Electronic Data Capture (EDC) software solutions are progressively being adopted for conducting clinical trials and studies, carried out by biomedi-cal, 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 de-scribes 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 ex-isting 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.


Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Economie/gestion
Publisher:
Cham, Springer
Date:
Cham
Springer
2017
Pagination:
pp. 38-47
Published in:
The Semantic Web – ISWC 2017 : 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II
DOI:
ISBN:
978-3-319-68203-7
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2017-11-03, last modified 2019-02-18

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