This page shows the technical details of what happened when authorised researcher Seb Bacon requested one or more actions to be run against real patient data in the project, within a secure environment.
By cross-referencing the indicated Requested Actions with the
Pipeline section below, you can infer what
various outputs were written to. Outputs marked as
can never be viewed directly by a researcher; they can only
request that code runs against them. Outputs marked as
can be viewed by an approved researcher by logging into a highly
secure environment. Only outputs marked as
can be requested for release to the public, via a controlled
output review service.
- Job identifier:
version: "3.0" expectations: population_size: 1000 actions: generate_cohort: run: cohortextractor:latest generate_cohort outputs: highly_sensitive: cohort: output/input.csv prepare_data: run: stata-mp:latest analysis/01_hh_cr_analysis_dataset.do needs: [generate_cohort] outputs: highly_sensitive: allvars: hh_analysis_dataset.dta descriptive_notebook: run: jupyter:latest jupyter nbconvert /workspace/analysis/opensafely_eda_test_notebook.ipynb --execute --to html --output-dir=/workspace --ExecutePreprocessor.timeout=86400 needs: [prepare_data] outputs: moderately_sensitive: notebook: opensafely_eda_test_notebook.html ages: analysis/ages.png hhsize: analysis/hh_sizes.png cases: analysis/hh_cases_*.png vo_test: run: python:latest python analysis/fit_vo.py 20 needs:  outputs: moderately_sensitive: vo: vo.txt generate_model_data: run: python:latest python analysis/generate_model_data.py needs: [prepare_data] outputs: moderately_sensitive: log: generate_model_data.log timeseries: output/case_series.pickle agecats: output/age_categories_series.pickle run_model_with_ridge: run: python:latest python analysis/opensafely_age_hh.py increase_nll needs: [generate_model_data] outputs: moderately_sensitive: log: opensafely_age_hh_with_ridge.log run_model_no_ridge: run: python:latest python analysis/opensafely_age_hh_th.py needs: [generate_model_data] outputs: moderately_sensitive: log: opensafely_age_hh_without_ridge.log run_all: needs: [run_model_no_ridge] # In order to be valid this action needs to define a run commmand and some # output. We don't really care what these are but the below does the trick. # In a future release of the platform, this special action won't need to be # defined at all. run: cohortextractor:latest --version outputs: moderately_sensitive: whatever: project.yaml
These timestamps are generated and stored using the UTC timezone on the backend.