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Job request: 6973

Organisation:
ISARIC
Workspace:
hdruk-os-covid-paeds
ID:
andj6z3stqapfvdo

This page shows the technical details of what happened when the authorised researcher James Farrell 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

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_contact_counts:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_contact_counts --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_contact_counts.csv.gz

  descriptives_count_data:
    run: r:latest analysis/00_count_data.R
    needs: [generate_contact_counts]
    outputs:
      moderately_sensitive:
        plots: output/descriptive/counts/*.jpeg
        tables: output/descriptive/counts/*.csv

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

  generate_high_admissions:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_high_admissions --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_high_admissions.csv.gz

  generate_high_outpatient:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_high_outpatient --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_high_outpatient.csv.gz

  generate_high_gp:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_high_gp --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_high_gp.csv.gz

  process_data:
    run: r:latest analysis/01_process_data.R
    needs: [generate_study_population, generate_high_admissions, generate_high_outpatient, generate_high_gp]
    outputs:
      highly_sensitive:
        data1: output/data/*.rds
      moderately_sensitive:
        diagnostics: output/diagnostics/*.csv

  descriptives:
    run: r:latest analysis/02_descriptives.R
    needs: [process_data]
    outputs:
      moderately_sensitive:
        plots: output/descriptive/plots/*.jpeg
        tables: output/descriptive/tables/*.csv

  create_cohorts:
    run: r:latest analysis/03_create_cohorts.R
    needs: [process_data]
    outputs:
      highly_sensitive:
        data1: output/data/cohorts/*.rds

  obj_1_analysis:
    run: r:latest analysis/04_analysis_obj_1.R
    needs: [process_data, create_cohorts]
    outputs:
      moderately_sensitive:
        plots: output/descriptive/obj_1/*.jpeg

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:10:05

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

Job information

Status
Succeeded
Backend
TPP
Requested by
James Farrell
Branch
main
Force run dependencies
No
Git commit hash
bbce46d
Requested actions
  • generate_contact_counts
  • descriptives_count_data

Code comparison

Compare the code used in this Job Request