Skip to content

Job request: 13267

Organisation:
The London School of Hygiene & Tropical Medicine
Workspace:
cis-pop-validation-ehrql-dev
ID:
agmckefxhfsstmh5
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Milan Wiedemann 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

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_dataset_cohortextractor:
    run: >
      cohortextractor:latest generate_cohort 
        --study-definition study_definition
        --index-date-range '2022-09-25 to 2022-09-25 by week' 
        --output-dir 'output'
        --output-file "output/dataset_cohortextractor.csv"
        --output-format csv
    outputs:
      highly_sensitive:
        cohort: output/dataset_cohortextractor_2022-09-25.csv

  generate_dataset_ehrql:
    run: >
      databuilder:v0
        generate-dataset analysis/dataset_definition.py 
        --output output/dataset_ehrql_2022-09-25.csv
        --dummy-tables dummy_data
    outputs:
      highly_sensitive:
        cohort: output/dataset_ehrql_2022-09-25.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:51:30

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

Job request

Status
Succeeded
Backend
TPP
Workspace
cis-pop-validation-ehrql-dev
Requested by
Milan Wiedemann
Branch
dev
Force run dependencies
Yes
Git commit hash
adbc673
Requested actions
  • generate_dataset_cohortextractor
  • generate_dataset_ehrql
  • run_all

Code comparison

Compare the code used in this job request