This page shows the technical details of what happened when authorised researcher Jon Massey 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.
version: '3.0' expectations: population_size: 1000 actions: generate_study_population: run: cohortextractor:latest generate_cohort --study-definition study_definition outputs: highly_sensitive: cohort: output/input.csv generate_notebook: run: jupyter:latest jupyter nbconvert /workspace/analysis/analysis.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 needs: [generate_study_population] outputs: moderately_sensitive: notebook: output/analysis.html input_counts: run: python:latest python analysis/input_counts.py needs: [generate_study_population] outputs: moderately_sensitive: cohort: output/inputcounts.txt generate_study_population_all: run: cohortextractor:latest generate_cohort --study-definition study_definition_exclusioncounts outputs: highly_sensitive: cohort: output/input_exclusioncounts.csv exclusion_counts: run: python:latest python analysis/exclusion_counts.py needs: [generate_study_population_all] outputs: moderately_sensitive: cohort: output/exclusioncounts.txt
These timestamps are generated and stored using the UTC timezone on the backend.