This repo and corresponding Domino Project contains the folder structure to template a study wide SDTM project.
This repo project is copied by Data Management to instantiate a new study specfic SDTM GitHub repo and Domino Project.
The programming is created in a typical clinical trial folder structure, where the production (prod) and qc programs have independent directory trees.
Reporting effort level standard code (e.g. SAS macros) should be stored in the share/macros
folder.
The global domino.sas
autoexec progam is also included in the repository to appropriately set up the SAS environment.
repo
│ domino.sas
├───prod
│ └───sdtm
├───qc
│ └───sdtm
└───utilities
init_datasets.py
└───share
└───macros
- Create a new project, named
CDISC01_SDTM
, from copying this project. This will create a new project and a new study specfic GitHub repo. - Run
utilities/init_datasets_sdtm.py
as a job to create the appropriate SDTM Domino Datasets (SDTMBLIND, SDTMUNBLIND and METADATA).
The programs follow a typical clinical trial naming convention, where the SDTM programs are named after the datasets they are producing (e.g. DM.sas, AE.sas, etc...)
Programming was created by Veramed Ltd. on behalf of Domino Data Lab, Inc.