Skip to content

Job request: 9936

Organisation:
The London School of Hygiene & Tropical Medicine
Workspace:
long_term_kidney_outcomes_after_covid
ID:
o5xm7og7rst3q7cr
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Viyaasan Mahalingasivam 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:

# Match covid_all_for_matching to comparators in potential_historical_general_population and potential_contemporary_general_population
# https://docs.opensafely.org/case-control-studies/

# Extract data for covid_all_for_matching
  extract_covid_all:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_covid_all_for_matching
    outputs:
      highly_sensitive:
        cohort: output/input_covid_all_for_matching.csv

  covid_all_descriptive:
    run: stata-mp:latest analysis/covid_all_for_matching.do
    needs: [extract_covid_all]
    outputs:
      highly_sensitive:
        analysis_dataset: output/covid_all_for_matching.dta
      moderately_sensitive:
        log: logs/covid_all_for_matching.log

# Extract data for covid_critical_care
  extract_covid_critical_care:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_covid_critical_care
    outputs:
      highly_sensitive:
        cohort: output/input_covid_critical_care.csv

  covid_critical_care_count:
    run: stata-mp:latest analysis/covid_critical_care.do
    needs: [extract_covid_critical_care]
    outputs:
      highly_sensitive:
        analysis_dataset: output/covid_critical_care.dta
      moderately_sensitive:
        log: logs/covid_critical_care.log

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 11:43:57

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

Job information

Status
Succeeded
Backend
TPP
Workspace
long_term_kidney_outcomes_after_covid
Requested by
Viyaasan Mahalingasivam
Branch
main
Force run dependencies
No
Git commit hash
efdf1be
Requested actions
  • extract_covid_critical_care
  • covid_critical_care_count

Code comparison

Compare the code used in this Job Request