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Job request: 12144

Organisation:
Bennett Institute
Workspace:
test-age-distribution
ID:
d45mczzwm3g3ppsd

This page shows the technical details of what happened when authorised researcher Chris Yeung requested one or more actions to be run against real patient data in the project, within a secure environment.

By cross-referencing the indicated Requested Actions with the Pipeline section below, you can infer what security level various outputs were written to. Outputs marked as highly_sensitive can never be viewed directly by a researcher; 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:
    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: 00:00:32

These timestamps are generated and stored using the UTC timezone on the GRAPHNET-TEST backend.

Job information

Status
Failed
Backend
GRAPHNET-TEST
Requested by
Chris Yeung
Branch
main
Force run dependencies
No
Git commit hash
af04fcf
Requested actions
  • generate_dataset

Code comparison

Compare the code used in this Job Request