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This page shows the technical details of what happened when authorised researcher Jennifer Yip requested one or more actions to be run against real patient data in the Ethnic disparities in COVID-19 outcomes in London project, within a secure environment.
By cross-referencing the indicated Requested Actions with the Pipeline section below, you can infer what
security level various outputs were written to. Outputs
highly_sensitive can never be viewed directly by a
researcher; they can only request that code runs against them. Outputs marked as
moderately_sensitive can be
viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as
moderately_sensitive can be requested for release to the public, via a controlled output review service.
Show Hide project.yaml
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 descriptive_figures: run: r:latest analysis/report.R needs: [generate_study_population] outputs: moderately_sensitive: figure: output/descriptive.png descriptive_tables: run: r:latest analysis/full_table_script.R needs: [generate_study_population] outputs: moderately_sensitive: table_one: output/Table1.html table_one_one: output/Table1-1.html table_one_two: output/Table1-2.html table_one_three: output/Table1-3.html table_one_four: output/Table1-4.html table_one_five: output/Table1-5.html
State is inferred from the related Jobs.
Timings set to UTC timezone.
- Runtime: 02:12:26