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Job request: 12645

Organisation:
The London School of Hygiene & Tropical Medicine
Workspace:
cis-pop-validation-ehrql-dev
ID:
oyxhh3hc3b7i4pzq
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 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:

  generate_dataset:
    # The final line of arguments are workarounds for the fact that we don't
    # have dummy data working yet, so don't worry about exactly what they're
    # doing.
    run: databuilder:v0
      generate-dataset analysis/dataset_definition.py --output output/dataset.csv
      --dsn dummy_data --query-engine csv --backend databuilder.backends.base.DefaultBackend
    outputs:
      highly_sensitive:
        cohort: output/dataset.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:02:14

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

Job information

Status
Succeeded
Backend
TPP
Workspace
cis-pop-validation-ehrql-dev
Requested by
Milan Wiedemann
Branch
dev
Force run dependencies
No
Git commit hash
c9a6197
Requested actions
  • generate_dataset

Code comparison

Compare the code used in this Job Request