Materials necessary for the "OMOP Common Data Model Extract, Transform & Load Tutorial". The goal of this tutorial is to learn about best practices and OHDSI tools developed to help with designing an extract, transform, & load process to take your database from raw observational data to the OMOP Common Data Model. Pre-requisite course would be the OMOP CDM & Vocabulary Tutorial or working experience with the OMOP CDM and OMOP Vocabulary.
- OHDSI-In-a-Box
- OHDSI Tools Required
- White Rabbit / Rabbit in a Hat
- USAGI
- With indexes prebuilt (documentation)
- Data
- OMOP Vocabulary
- Raw Synthea Data
- CDM Synthea Data V1
- CDM Synthea Data V2
- Raw Lauren Data (empty, SQL generates data)
- CDM Lauren Data
- R Studio, R, OHDSI R Packages