Job request: 4990
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 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 generate_exclusion_notebook: run: jupyter:latest jupyter nbconvert /workspace/analysis/exclusion_counts.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 needs: [generate_study_population_all] outputs: moderately_sensitive: notebook: output/exclusion_counts.html
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