Skip to content

Job request: 5961

Organisation:
Bennett Institute
Workspace:
covid_mortality_over_time
ID:
dhcc7cvhmm33a2pq

This page shows the technical details of what happened when the authorised researcher Linda Nab 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:

# Extract data
# When argument --index-date-range is changed, change has to be made in ./analysis/config.R and ./analysis/config.py too
  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --skip-existing --output-format=csv.gz --index-date-range "2020-02-01 to 2020-08-01 by month"
    outputs:
      highly_sensitive:
        cohort: output/input_*.csv.gz

# Extract ethnicity
  generate_study_population_ethnicity:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_ethnicity.csv.gz

# Join data
  join_data:
    run: python:latest analysis/join_ethnicity.py
    needs: [generate_study_population, generate_study_population_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/input*.csv.gz

# Calculate mortality rates (crude + subgroup specific)
  calculate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition
    needs: [join_data]
    outputs:
      moderately_sensitive:
        measure: output/measure_*_mortality_rate.csv

# Standardise crude mortality rate
  standardise_crude_rates:
    run: r:latest analysis/crude_rates_standardise.R
    needs: [calculate_measures]
    outputs:
      moderately_sensitive:
        csvs: output/rates/crude_*monthly_std.csv 

# Standardise subgroup specific mortality rates
  standardise_subgroup_rates:
    run: r:latest analysis/subgroups_rates_standardise.R
    needs: [calculate_measures]
    outputs:
      moderately_sensitive:
        csvs: output/rates/*_monthly_std.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 10:14:29

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

Job information

Status
Failed
Backend
TPP
Requested by
Linda Nab
Branch
main
Force run dependencies
Yes
Git commit hash
1a0b289
Requested actions
  • run_all

Code comparison

Compare the code used in this Job Request

  • No previous Job Request available for comparison