Job request: 12479
- Organisation:
 - The London School of Hygiene & Tropical Medicine
 - Workspace:
 - bias
 - ID:
 - gsag7kienndn2haf
 
This page shows the technical details of what happened when the authorised researcher Emily Herrett requested one or more actions to be run against real patient data within a secure environment.
By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.
The output security levels are:
- 
                highly_sensitive
                
- Researchers can never directly view these outputs
 - Researchers can only request code is run against them
 
 - 
                moderately_sensitive
                
- Can be viewed by an approved researcher by logging into a highly secure environment
 - These are the only outputs that can be requested for public release via a controlled output review service.
 
 
Jobs
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- Job identifier:
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ddvk2awfw44s2liu 
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- Job identifier:
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5izywvas36na2wpa - Error:
 - nonzero_exit: Job exited with error code 1
 
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- Job identifier:
 - 
                    
                    
om6kp3ffv76buceg - Error:
 - dependency_failed: Not starting as dependency failed
 
 
Pipeline
Show project.yaml
version: '3.0'
expectations:
  population_size: 100000
actions:
  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --output-format=csv
    outputs:
      highly_sensitive:
        cohort: output/input.csv
  # Generate objective 1a dataset
  create_dataset_1a:
    run: stata-mp:latest analysis/cr_dataset_1a.do
    needs: [generate_study_population]
    outputs:
      highly_sensitive:
        output: output/cr_dataset_1a.csv
  # Generate objective 1a table
  create_table_1a:
    run: stata-mp:latest analysis/tabulate_1a.do
    needs: [generate_study_population, create_dataset_1a]
    outputs:
      moderately_sensitive:
        output: output/tables/an_table_PublicationDescriptivesTable_1a.csv
Timeline
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Created:
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Started:
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Finished:
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Runtime: 03:17:37
 
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Code comparison
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