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Job request: 4165

Organisation:
Bennett Institute
Workspace:
tpp_representativeness
ID:
d7r3wkni6wdpfh6q
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Colm Andrews requested one or more actions to be run against real patient data in the project, within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level various outputs were written to. Researchers can never directly view outputs marked as highly_sensitive ; 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.

Jobs

  • Action:
    counts
    Status:
    Status: Succeeded
    Job identifier:
    3dp2kzdcp4l7i5mu
  • Action:
    plots
    Status:
    Status: Succeeded
    Job identifier:
    def6h32l5kiyae5d

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 10000

actions:

  generate_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --output-dir=output/cohorts --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/cohorts/input.csv.gz

  counts:
    run: r:latest analysis/counts.r
    needs: [generate_cohort]
    outputs:
      moderately_sensitive:
        death_count: output/tables/death_count.csv.gz
        imd_table: output/tables/imd_count.csv.gz
        age_sex_table: output/tables/age_sex_count.csv.gz
        age_table: output/tables/age_count.csv.gz
        levels: output/tables/levels.RData

  plots:
    run: r:latest analysis/plots.R
    needs: [counts]
    outputs:
      moderately_sensitive:
        figure1: output/plots/Cause_of_Death_count.svg
        figure2: output/plots/imd_count.svg
        figure3: output/plots/age_sex_count.svg
        figure4: output/plots/age_count.svg


  calculate_tpp_coverage:
    run: r:latest analysis/calculate_tpp_coverage.R
    needs: [generate_cohort]
    outputs:
      moderately_sensitive:
        msoa_table: output/tables/tpp_pop_all.csv.gz
        msoa_map: output/plots/tpp_coverage_map.svg

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:05:07

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job information

Status
Succeeded
Backend
TPP
Workspace
tpp_representativeness
Requested by
Colm Andrews
Branch
master
Force run dependencies
No
Git commit hash
cb137b3
Requested actions
  • counts
  • plots

Code comparison

Compare the code used in this Job Request