According to CDISC: SDTM provides a standard for organizing and formatting data to streamline processes in collection, management, analysis and reporting. Implementing SDTM supports data aggregation and warehousing; fosters mining and reuse; facilitates sharing; helps perform due diligence and other important data review activities; and improves the regulatory review and approval process.
SDTM is one of the required standards for data submission to FDA (U.S.) and PMDA (Japan).
sdtmchecksContains data check functions to identify SDTM issues that are generalizable, actionable, and meaningful for analysis
datacutrApplying a datacut to SDTM
sdtm.oakAn Electronic Data Capture system and Data Standard agnostic solution that enables to develop SDTM datasets in R
aNCA(Pre-)clinical Non-Compartment Analysis (NCA) in a dynamic Shiny app
Upcoming packages for consideration
The following are being worked up towards open sourcing to be considered for later inclusion into the pharmaverse - we felt important to share here in case others are working in a similar space and would be interested to collaborate with the respective developers.
A collaboration of 7 companies is being formed to tackle “Open Source test data generation” for SDTM mapping via an R package. it would be focused on test data from EDC systems that is needed to test SDTM mapping.
If you have interest to support the above, then post on our Slack and we could connect any passionate individuals or companies.