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Job request: 371

Organisation:
The London School of Hygiene & Tropical Medicine
Workspace:
post-covid-thrombosis
ID:
xda35lj4fnizyjgq

This page shows the technical details of what happened when the authorised researcher Alex Walker 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:
    000_covid
    Status:
    Status: Succeeded
    Job identifier:
    naujqjpp23vqttst
  • Action:
    000_pneumonia
    Status:
    Status: Succeeded
    Job identifier:
    ycdwnuagtzobqt6f
  • Action:
    201_covid
    Status:
    Status: Succeeded
    Job identifier:
    h2g2smdlpdbg224y
  • Action:
    201_pneumonia
    Status:
    Status: Succeeded
    Job identifier:
    f7bumhub7r2d2s7z

Pipeline

Show project.yaml
version: "3.0"

expectations:
  population_size: 10000

actions:
  generate_cohorts:
    run: cohortextractor:latest generate_cohort
    outputs:
      highly_sensitive:
        covid_cohort: output/input_covid.csv
        pneumonia_cohort: output/input_pneumonia.csv
        ctrl_2019_cohort: output/input_control_2019.csv
        ctrl_2020_cohort: output/input_control_2020.csv

  000_covid:
    run: stata-mp:latest analysis/000_cr_define_covariates_simple_rates.do "covid"
    needs: [generate_cohorts]
    outputs:
      moderately_sensitive:
        graph: output/length_of_stay_covid.svg
      highly_sensitive:
        analysis_dataset: output/cohort_rates_covid.dta

  000_pneumonia:
    run: stata-mp:latest analysis/000_cr_define_covariates_simple_rates.do "pneumonia"
    needs: [generate_cohorts]
    outputs:
      moderately_sensitive:
        graph: output/length_of_stay_pneumonia.svg
      highly_sensitive:
        analysis_dataset: output/cohort_rates_pneumonia.dta

  201_covid:
    run: stata-mp:latest analysis/201_cr_simple_rates.do "covid"
    needs: [000_covid]
    outputs:
      moderately_sensitive:
        graph: output/tabfig/rates_summary_covid.csv

  201_pneumonia:
    run: stata-mp:latest analysis/201_cr_simple_rates.do "pneumonia"
    needs: [000_pneumonia]
    outputs:
      moderately_sensitive:
        graph: output/tabfig/rates_summary_pneumonia.csv

  run_all:
    needs: [201_covid, 201_pneumonia]
    # In order to be valid this action needs to define a run command and some
    # output. We don't really care what these are but the below does the trick.
    # In a future release of the platform, this special action won't need to be
    # defined at all.
    run: cohortextractor:latest --version
    outputs:
      moderately_sensitive:
        whatever: project.yaml

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:18

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

Job information

Status
Succeeded
Backend
TPP
Requested by
Alex Walker
Branch
master
Force run dependencies
No
Git commit hash
d6381ea
Requested actions
  • 000_covid
  • 000_pneumonia
  • 201_covid
  • 201_pneumonia

Code comparison

Compare the code used in this Job Request