DMCA
Using CDISC ODM and the RDF Data Cube for the Semantic Enrichment of Longitudinal Clinical Trial Data
| Citations: | 3 - 1 self |
BibTeX
@MISC{Leroux_usingcdisc,
author = {Hugo Leroux and Laurent Lefort},
title = {Using CDISC ODM and the RDF Data Cube for the Semantic Enrichment of Longitudinal Clinical Trial Data},
year = {}
}
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Abstract
Abstract. The development of ontology, linked data standards and tools for semantic enrichment, opens new opportunities to analyse and reuse the clinical data collected as part of clinical trials and longitudinal studies. This paper presents our approach on the semantic enrichment of the data collected as part of the Australian, Imaging, Biomarker and Lifestyle study of Ageing (AIBL). AIBL is a large scale longitudinal clinical study into neurodegenerative diseases that has been designed to support investigations of the predictive utility of various biomarkers, cognitive parameters and lifestyle factors as indicators of Alzheimer’s disease. The objective of this paper is to highlight the complementarities of Clinical Data Management Systems standards, such as CDISC ODM, with novel approaches to manage large volume of heterogeneous linked data resources, such as the W3C RDF Data Cube. We start by describing the standards, ontologies, linked data resources and tools that we use to aggregate the study data. Next, we describe the structure of the Linked Clinical Data Cube and the tools that we use to map the recorded medication intake information to the relevant standards in the Australian context: SNOMED CT and the Australian Medical Terminology. We also discuss how our approach could be extended to take advantage of past and present Linked Open Data initiatives in the Health Care and Life Sciences community.
Keyphrases
semantic enrichment cdisc odm rdf data cube longitudinal clinical trial data data resource snomed ct relevant standard clinical data management system standard predictive utility novel approach present linked open data initiative recorded medication intake information clinical data lifestyle study alzheimer disease life science community lifestyle factor australian context clinical trial various biomarkers neurodegenerative disease data standard linked clinical data cube large volume australian medical terminology health care study data large scale longitudinal clinical study cognitive parameter longitudinal study w3c rdf data cube new opportunity
