HIGHLIGHTS
- who: Juan C. Quiroz and colleagues from the Centre for Big Data Research in Health, UNSW, Sydney, Australia, Concord Clinical School, University of have published the article: Extract, transform, load framework for the conversion of health databases to OMOP, in the Journal: PLOS ONE of 25/Oct/2021
- what: The authors propose an transform load (ETL) framework that is metadata-driven and generic across source datasets. Funding: This work has been funded by the Sydney Local Health Area District under the umbrella of Australian Research Data Commons (ARDC) grant 10.47486/PS014. The Observational Medical . . .
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