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This page shows the technical details of what happened when authorised researcher AgzLeman requested one or more actions to be run against real patient data in the Pancreatic cancer 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 --output-format=csv outputs: highly_sensitive: cohort: output/input.csv generate_denominator_1: run: cohortextractor:latest generate_cohort --study-definition study_definition_denominator --index-date-range "2015-01-01 to 2019-01-01 by month" --skip-existing --output-dir=output --output-format=feather outputs: highly_sensitive: cohort: output/measures/input*.feather generate_denominator_2: run: cohortextractor:latest generate_cohort --study-definition study_definition_denominator --index-date-range "2019-02-01 to 2022-03-01 by month" --skip-existing --output-dir=output --output-format=feather outputs: highly_sensitive: cohort: output/measures/inpu*.feather generate_measures: run: cohortextractor:latest generate_measures --study-definition study_definition_denominator --skip-existing --output-dir=output/measures needs: [ generate_denominator_1, generate_denominator_2, ] outputs: moderately_sensitive: measure_csv: output/measures/measure_registered*_rate.csv describe_data: run: r:latest analysis/analysis_counts.R needs: [ generate_study_population ] outputs: moderately_sensitive: Tab1: output/monthly_count.csv Tab2: output/demographics.csv
State is inferred from the related Jobs.
Timings set to UTC timezone.
- Runtime: 00:05:09