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Job request: 12143

Organisation:
Bennett Institute
Workspace:
test-age-distribution
ID:
2pn44vc226lneljc

This page shows the technical details of what happened when the 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 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:
    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: 00:00:33

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

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