Adriano Barbosa-Silva, Dorina Bratfalean, Wei Gu, Venkata Satagopam, Paul Houston, Lauren B Becnel, Serge Eifes, Fabien Richard, Andreas Tielmann, Sascha Herzinger, Kavita Rege, Rudi Balling, Paul Peeters, Reinhard Schneider
Motivation: Standardization and semantic alignment have been considered one of the major challenges for data integration in clinical research. The inclusion of the CDISC SDTM clinical data standard into the tranSMART i2b2 via a guiding master ontology tree positively impacts and supports the efficacy of data sharing, visualization and exploration across datasets. Results: We present here a schema for the organization of SDTM variables into the tranSMART i2b2 tree along with a script and test dataset to exemplify the mapping strategy...
September 26, 2018: Bioinformatics