{"id":21601315,"url":"https://github.com/dominodatalab/cdisc01_study","last_synced_at":"2026-01-03T23:05:49.419Z","repository":{"id":196642930,"uuid":"695263296","full_name":"dominodatalab/CDISC01_Study","owner":"dominodatalab","description":null,"archived":false,"fork":false,"pushed_at":"2025-03-07T19:47:39.000Z","size":400,"stargazers_count":0,"open_issues_count":0,"forks_count":4,"subscribers_count":5,"default_branch":"prod","last_synced_at":"2025-03-07T20:32:20.499Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"SAS","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dominodatalab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-09-22T18:04:41.000Z","updated_at":"2025-03-07T19:47:43.000Z","dependencies_parsed_at":"2023-10-25T15:02:31.203Z","dependency_job_id":"950068fe-d3cb-4587-a717-b3ba779fe305","html_url":"https://github.com/dominodatalab/CDISC01_Study","commit_stats":null,"previous_names":["dominodatalab/cdisc01_re_csr","dominodatalab/cdisc01_study"],"tags_count":3,"template":false,"template_full_name":"dominodatalab/CLINICAL_STUDY_TEMPLATE","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dominodatalab%2FCDISC01_Study","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dominodatalab%2FCDISC01_Study/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dominodatalab%2FCDISC01_Study/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dominodatalab%2FCDISC01_Study/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dominodatalab","download_url":"https://codeload.github.com/dominodatalab/CDISC01_Study/tar.gz/refs/heads/prod","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244227560,"owners_count":20419261,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-24T19:08:57.583Z","updated_at":"2026-01-03T23:05:49.342Z","avatar_url":"https://github.com/dominodatalab.png","language":"SAS","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Protocol CDISC01 Study Repo\n\nThis repo contains the study specfic ADaM and TFL code for the CDISC01 protocol.\n\nEach reporting effort (Interim, Ad Hoc, CSR etc.) is a branch within this repo.\n\n# Directory structure\n\nThe programming is created in a typical clinical trial folder structure, where the production (prod) and qc programs have independent directory trees.\n\nReporting effort level standard code (e.g. SAS macros) should be stored in the `share/macros` folder.\n\nThe global `domino.sas` autoexec progam is also included in the repository to appropriately set up the SAS environment. \n\n```\nrepo\n│   domino.sas\n├───prod\n│   ├───adam\n    ├───adam_flows\n    ├───tfl\n│   └───tfl_flows\n├───qc\n│   ├───adam\n│   │       compare_adam.sas\n    ├───adam_flows\n    ├───tfl\n│   └───tfl_flows\n├───utilities\n│       init_datasets_re.py\n│       import_metadata.sas\n├───flows\n└───share\n    └───macros\n```\n\n# Naming convention\n\nThe programs follow a typical clinical trial naming convention, where the ADaM programs are named using the dataset name (e.g. ADSL.sas, etc.) and the TFL programs have a `t_` prefix to indicate tables, etc.\n\n# QC programming and reporting\n\nThe QC programming is all in SAS, and there is a `compare_adam.sas` program which uses SAS PROC COMPARE to create a summary report of all differences between the prod and qc datasets. This program also generates the `dominostats.json` files which Domino uses to display a dashboard in the jobs screen.\n\n# Support\n\nProgramming was created by Veramed Ltd. on behalf of Domino Data Lab, Inc.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdominodatalab%2Fcdisc01_study","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdominodatalab%2Fcdisc01_study","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdominodatalab%2Fcdisc01_study/lists"}