Job request: 25005

Organisation:: Bennett Institute
Workspace:: pifu-data-exploration
ID:: ogpzgy7vqs5zknjs

This page shows the technical details of what happened when the authorised researcher Andrea Schaffer 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:

measures_london

Status:

Status: Succeeded

Job identifier:

6vmx3hzipveihcdb
Action:

measures_northeast

Status:

Status: Succeeded

Job identifier:

xpk4vuy5pods5cem
Action:

measures_northwest

Status:

Status: Succeeded

Job identifier:

7nf2p2ggf47todlu
Action:

measures_yorkshire

Status:

Status: Succeeded

Job identifier:

3yqdx7y7nlwr57mn
Action:

measures_eastmidlands

Status:

Status: Succeeded

Job identifier:

uj4tjkshi5fjq3qg
Action:

measures_westmidlands

Status:

Status: Succeeded

Job identifier:

at4mahggcpzmdoxb
Action:

measures_east

Status:

Status: Succeeded

Job identifier:

5tt6jf5k4xxi5mbv
Action:

measures_southeast

Status:

Status: Succeeded

Job identifier:

eyvjv4ukkzs2oega
Action:

measures_southwest

Status:

Status: Succeeded

Job identifier:

4kugbslevj77txel
Action:

time_series_region

Status:

Status: Succeeded

Job identifier:

i3gcnmd55vm7e3tn

Pipeline

Show project.yaml

version: '4.0'

actions:
  generate_dataset_explore:
    run: ehrql:v1 generate-dataset analysis/dataset_definition_explore.py --output output/dataset_explore.csv.gz
    outputs:
      highly_sensitive:
        dataset: output/dataset_explore.csv.gz

  table_explore:
    run: r:latest analysis/process/data_exploration.R
    needs: [generate_dataset_explore]
    outputs:
      moderately_sensitive:
        table1: output/processed/table_explore.csv
        #table2: output/processed/table_pfu_explore.csv
        table3: output/processed/counts_explore.csv

  generate_dataset:
    run: ehrql:v1 generate-dataset analysis/dataset_definition_everyone.py --output output/dataset_everyone.csv.gz
    outputs:
      highly_sensitive:
        dataset: output/dataset_everyone.csv.gz
  
  generate_dataset_rheum:
    run: ehrql:v1 generate-dataset analysis/dataset_definition_rheum.py --output output/dataset_rheum.csv.gz
    outputs:
      highly_sensitive:
        dataset: output/dataset_rheum.csv.gz

  measures:
    run: ehrql:v1 generate-measures analysis/measures.py --output output/measures/measures.csv
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures.csv

  measures_london:
    run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_london.csv 
      -- 
      --param_region London
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures_london.csv

  measures_northeast:
    run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_northeast.csv 
      -- 
      --param_region 'North East'
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures_northeast.csv

  measures_northwest:
    run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_northwest.csv 
      -- 
      --param_region 'North West'
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures_northwest.csv

  measures_yorkshire:
    run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_yorkshire.csv 
      --
      --param_region 'Yorkshire and The Humber'
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures_yorkshire.csv

  measures_eastmidlands:
    run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_eastmidlands.csv 
      --
      --param_region 'East Midlands'
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures_eastmidlands.csv

  measures_westmidlands:
    run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_westmidlands.csv 
      -- 
      --param_region 'West Midlands'
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures_westmidlands.csv

  measures_east:
    run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_east.csv 
      --
      --param_region East
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures_east.csv

  measures_southeast:
    run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_southeast.csv 
      --
      --param_region 'South East'
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures_southeast.csv

  measures_southwest:
    run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_southwest.csv 
      --
      --param_region 'South West'
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures_southwest.csv

  table:
    run: r:latest analysis/process/pop_characteristics.R
    needs: [generate_dataset, generate_dataset_rheum]
    outputs:
      moderately_sensitive:
        table1: output/processed/table.csv
        table2: output/processed/table_pfu.csv
        table3: output/processed/table_rheum.csv

  time_series:
    run: r:latest analysis/process/measures_process.R
    needs: [measures]
    outputs:
      moderately_sensitive:
        timeseries1: output/processed/time_series_overall.csv
        timeseries2: output/processed/time_series_specialty.csv
  
  time_series_region:
    run: r:latest analysis/process/measures_region_process.R
    needs: [measures_london, measures_east, measures_eastmidlands, measures_northeast, measures_northwest, measures_southeast, measures_southwest, measures_westmidlands, measures_yorkshire]
    outputs:
      moderately_sensitive:
        timeseries1: output/processed/ts_*.csv
        timeseries2: output/processed/ts_sp*.csv

  visits:
    run: r:latest analysis/process/visit_stats.R
    needs: [generate_dataset_rheum]
    outputs:
      moderately_sensitive:
        table: output/processed/visit_stats.csv

Timeline

Created: 3 weeks, 5 days ago 26 Aug 2025 17:07:52 UTC
Started: 3 weeks, 4 days ago 27 Aug 2025 05:18:16 UTC
Finished: 3 weeks, 3 days ago 28 Aug 2025 01:51:04 UTC
Runtime: 88:45:47

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

Job information

Status: Succeeded
Backend: TPP
Workspace: pifu-data-exploration
Requested by: Andrea Schaffer
Branch: main
Force run dependencies: No
Git commit hash: 369d96f
Requested actions: measures_london

measures_northeast

measures_northwest

measures_yorkshire

measures_eastmidlands

measures_westmidlands

measures_east

measures_southeast

measures_southwest

time_series_region

Code comparison

Compare the code used in this Job Request