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QUESTO – An Ontology for Questionnaires

Abstract : QUESTO is an ontology formalizing questionnaires and related entities, such as the processes of administering the questionnaire or capturing the answers. It is built according to the OBO Foundry methodology and is a component of an ontological model that aims to enable interoperability between various clinical data sources in the context of a Learning Health System. This article presents the main entities of QUESTO and provides an example of its application: a relational data model is generated from the ontology and used to retrieve data from public health questionnaires stored in a REDCap database.
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https://hal.archives-ouvertes.fr/hal-03053318
Contributor : Adrien Barton Connect in order to contact the contributor
Submitted on : Saturday, December 12, 2020 - 12:05:52 AM
Last modification on : Tuesday, October 19, 2021 - 2:23:44 PM
Long-term archiving on: : Saturday, March 13, 2021 - 6:12:31 PM

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Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

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  • HAL Id : hal-03053318, version 1

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Paul Fabry, Adrien Barton, Jean-François Ethier. QUESTO – An Ontology for Questionnaires. ICBO|ODLS 2020 International Conference on Biomedical Ontologies 2020, Sep 2020, Bolzano, Italy. pp.B.1-12. ⟨hal-03053318⟩

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