Representation of Time-Relevant Common Data Elements in the Cancer Data Standards Repository: Statistical Evaluation of an Ontological Approach

JMIR Medical Informatics
Henry W ChenCui Tao

Abstract

Today, there is an increasing need to centralize and standardize electronic health data within clinical research as the volume of data continues to balloon. Domain-specific common data elements (CDEs) are emerging as a standard approach to clinical research data capturing and reporting. Recent efforts to standardize clinical study CDEs have been of great benefit in facilitating data integration and data sharing. The importance of the temporal dimension of clinical research studies has been well recognized; however, very few studies have focused on the formal representation of temporal constraints and temporal relationships within clinical research data in the biomedical research community. In particular, temporal information can be extremely powerful to enable high-quality cancer research. The objective of the study was to develop and evaluate an ontological approach to represent the temporal aspects of cancer study CDEs. We used CDEs recorded in the National Cancer Institute (NCI) Cancer Data Standards Repository (caDSR) and created a CDE parser to extract time-relevant CDEs from the caDSR. Using the Web Ontology Language (OWL)-based Time Event Ontology (TEO), we manually derived representative patterns to semantically model t...Continue Reading

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Citations

Jul 7, 2020·Journal of the American Medical Informatics Association : JAMIA·Fang LiCui Tao

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Software Mentioned

caDSR
caCORE
NCIt
OpenEHR
TEO
CDE
CNTRO
SPARQL

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