Skip to content

Job request: 11872

Organisation:
Bennett Institute
Workspace:
test-age-distribution
ID:
hbeqlysdt2jmuvhg

This page shows the technical details of what happened when the authorised researcher Ben Butler-Cole 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

  • Action:
    generate_dataset
    Status:
    Status: Succeeded
    Job identifier:
    jgmqrygi2kq5la2x
  • Action:
    count_by_age
    Status:
    Status: Succeeded
    Job identifier:
    rhfjhrontjkpgokn

Pipeline

Show project.yaml
version: "3.0"

expectations:
  population_size: 1000

actions:
  generate_dataset:
    run: >
      databuilder:v0.48.0
        generate-dataset
        --output output/dataset.csv
        --dummy-data-file dummy_output/dataset.csv
        analysis/dataset_definition.py
    outputs:
      highly_sensitive:
        dataset: output/dataset.csv

  count_by_age:
    run: >
      python:latest
        python analysis/count_by_age.py
    needs: [generate_dataset]
    outputs:
      moderately_sensitive:
        count: output/count_by_age.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:01:45

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

Job information

Status
Succeeded
Backend
TPP
Requested by
Ben Butler-Cole
Branch
main
Force run dependencies
Yes
Git commit hash
af04fcf
Requested actions
  • run_all

Code comparison

Compare the code used in this Job Request