Skip to content

Job request: 21128

Organisation:
University of Manchester
Workspace:
digital-access-to-primary-care
ID:
bc3sq3xj2cuad7uh

This page shows the technical details of what happened when the authorised researcher Abodunrin Aminu 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_consultation_dataset_2019-04-01_to_2019-04-30:
    run: >
      ehrql:v0
        generate-dataset analysis/dataset_definition.py
        --output output/consultation_dataset_2019-04-01_to_2019-04-30.arrow
        --
        --start-date "2019-04-01"
        --end-date "2019-04-30"
    outputs:
      highly_sensitive:
        study_population: output/consultation_dataset_2019-04-01_to_2019-04-30.arrow

  generate_consultation_dataset_2019-05-01_to_2019-05-31:
    run: >
      ehrql:v0
        generate-dataset analysis/dataset_definition.py
        --output output/consultation_dataset_2019-05-01_to_2019-05-31.arrow
        --
        --start-date "2019-05-01"
        --end-date "2019-05-31"
    outputs:
      highly_sensitive:
        study_population: output/consultation_dataset_2019-05-01_to_2019-05-31.arrow

  generate_consultation_dataset_2019-06-01_to_2019-06-30:
    run: >
      ehrql:v0
        generate-dataset analysis/dataset_definition.py
        --output output/consultation_dataset_2019-06-01_to_2019-06-30.arrow
        --
        --start-date "2019-06-01"
        --end-date "2019-06-30"
    outputs:
      highly_sensitive:
        study_population: output/consultation_dataset_2019-06-01_to_2019-06-30.arrow   


  generate_consultation_dataset_2020-04-01_to_2020-04-30:
    run: >
      ehrql:v0
        generate-dataset analysis/dataset_definition.py
        --output output/consultation_dataset_2020-04-01_to_2020-04-30.arrow
        --
        --start-date "2020-04-01"
        --end-date "2020-04-30"
    outputs:
      highly_sensitive:
        study_population: output/consultation_dataset_2020-04-01_to_2020-04-30.arrow

  generate_consultation_dataset_2020-05-01_to_2020-05-31:
    run: >
      ehrql:v0
        generate-dataset analysis/dataset_definition.py
        --output output/consultation_dataset_2020-05-01_to_2020-05-31.arrow
        --
        --start-date "2020-05-01"
        --end-date "2020-05-31"
    outputs:
      highly_sensitive:
        study_population: output/consultation_dataset_2020-05-01_to_2020-05-31.arrow

  generate_consultation_dataset_2020-06-01_to_2020-06-30:
    run: >
      ehrql:v0
        generate-dataset analysis/dataset_definition.py
        --output output/consultation_dataset_2020-06-01_to_2020-06-30.arrow
        --
        --start-date "2020-06-01"
        --end-date "2020-06-30"
    outputs:
      highly_sensitive:
        study_population: output/consultation_dataset_2020-06-01_to_2020-06-30.arrow
  
  summarise_consultation_datasets:
    run: >
      r:latest analysis/summarise_consultation_dataset.R
    needs: [generate_consultation_dataset_2019-04-01_to_2019-04-30, generate_consultation_dataset_2019-05-01_to_2019-05-31, generate_consultation_dataset_2019-06-01_to_2019-06-30
    , generate_consultation_dataset_2020-04-01_to_2020-04-30, generate_consultation_dataset_2020-05-01_to_2020-05-31, generate_consultation_dataset_2020-06-01_to_2020-06-30]
    outputs:
      moderately_sensitive:
        measure_csv: output/data/summary_consultation_dataset.csv

  # summarise_consultation_codes:
  #   run: >
  #     r:latest analysis/investigate_consultation_codes.R
  #   needs: [generate_consultation_dataset_2020-04-01_to_2021-03-31]
  #   outputs:
  #     moderately_sensitive:
  #       measure_csv: output/data/summary_consultation_codes.csv

  visualise_consultation_datasets:
    run: >
      r:latest analysis/visualise_consultation_dataset.R
    needs: [summarise_consultation_datasets]
    outputs:
      moderately_sensitive:
        figure_n_has: output/figures/figure_n_has_consultation_by_age.png
        figure_n_sum: output/figures/figure_n_sum_consultation_by_age.png

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 12:11:25

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

Job information

Status
Succeeded
Backend
TPP
Requested by
Abodunrin Aminu
Branch
main
Force run dependencies
Yes
Git commit hash
fb52a8d
Requested actions
  • generate_consultation_dataset_2019-04-01_to_2019-04-30
  • generate_consultation_dataset_2019-05-01_to_2019-05-31
  • generate_consultation_dataset_2019-06-01_to_2019-06-30
  • generate_consultation_dataset_2020-04-01_to_2020-04-30
  • generate_consultation_dataset_2020-05-01_to_2020-05-31
  • generate_consultation_dataset_2020-06-01_to_2020-06-30
  • summarise_consultation_datasets
  • visualise_consultation_datasets

Code comparison

Compare the code used in this Job Request