Skip to content

Job request: 16308

Organisation:
Nuffield Trust
Workspace:
deaths-at-home-during-covid-19-validation
ID:
iudcaxksx272t2m2

This page shows the technical details of what happened when the authorised researcher Peter Inglesby 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: 10000

actions:
  generate_dataset:
    run: >
      databuilder:v0
        generate-dataset analysis/dataset_definition.py
        --output output/dataset.arrow
    outputs:
      highly_sensitive:
        cohort: output/dataset.arrow

  count_medication_events:
    run: >
      python:latest
        python analysis/count_medication_events.py
    needs: [generate_dataset]
    outputs:
      moderately_sensitive:
        counts: output/medication-counts.json

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:01:28

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

Job information

Status
Succeeded
Backend
TPP
Requested by
Peter Inglesby
Branch
validation
Force run dependencies
Yes
Git commit hash
17bb6cb
Requested actions
  • run_all

Code comparison

Compare the code used in this Job Request