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Job request: 667

Organisation:
Bennett Institute
Workspace:
covid-vaccine-preliminary-study_effectiveness
ID:
djo4f3tuog2yp2do
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Will Hulme 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_delivery_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_delivery
    outputs:
      highly_sensitive:
        cohort: output/input_delivery.csv

  generate_eligibility_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_eligibility
    outputs:
      highly_sensitive:
        cohort: output/input_eligibility.csv

  # generate_notebook:
  #   run: jupyter:latest jupyter nbconvert /workspace/notebooks/population_characteristics.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400
  #
  #   needs: [generate_delivery_cohort]
  #   outputs:
  #     moderately_sensitive:
  #       notebook: output/population_characteristics.html


  process_data:
    run: r:latest analysis/effectiveness/process_data.R
    needs: [generate_delivery_cohort]
    outputs:
      highly_sensitive:
        cohort: output/data/data_processed.rds
      moderately_sensitive:
        summary1: output/data_summary/summary_delivery.txt
        summary2: output/data_summary/summary_processed.txt
        summary3: output/data_summary/type_delivery.txt
        summary4: output/data_summary/type_processed.txt


  summarise_data:
    run: r:latest analysis/effectiveness/summarise_data.R
    needs: [process_data]
    outputs:
      moderately_sensitive:
        summary1: output/variable_summary/categorical.txt
        summary2: output/variable_summary/numeric.txt
        summary3: output/variable_summary/date.txt


  tte_plots:
    run: r:latest analysis/effectiveness/tte_plots.R
    needs: [process_data]
    outputs:
      moderately_sensitive:
        #summary1: output/variable_summary/categorical.txt
        plots: output/figures/time_to_event/plot_*.png

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:36

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

Job information

Status
Succeeded
Backend
TPP
Workspace
covid-vaccine-preliminary-study_effectiveness
Requested by
Will Hulme
Branch
effectiveness
Force run dependencies
Yes
Git commit hash
a2109d8
Requested actions
  • generate_delivery_cohort
  • process_data
  • summarise_data
  • tte_plots

Code comparison

Compare the code used in this Job Request