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Job request: 4077

Organisation:
Workspace:
antipsychotics-prescribing-during-covid-19-master
ID:
hkzu2ydtd2r4rz4p
View repo View project.yaml

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

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.

The output security levels are:

  • highly_sensitive
    • Researchers can never directly view these outputs
    • Researchers can only request code is run against them
  • moderately_sensitive
    • Can be viewed by an approved researcher by logging into a highly secure environment
    • These are the only outputs that can be requested for public release via a controlled output review service.

Jobs

Pipeline

Show project.yaml 
######################################

# This script defines the project pipeline - it specifys the execution orders for all the code in this
# repo using a series of actions.

######################################

version: '3.0'

expectations:
  population_size: 100000

actions:

  # Extract data ----
  
  ## Cohort data
  extract_data:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-01-01 to 2021-04-01 by month" --output-dir=output/data --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_*.feather
  
  ## Ethnicity      
  extract_ethnicity:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-dir=output/data --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_ethnicity.feather
  
  # Data processing ----
  
  ## Add ethnicity
  join_ethnicity:
    run: python:latest python analysis/join_ethnicity.py
    needs: [extract_data, extract_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/data/input*.feather
        
  ## Generate measures
  generate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output/data
    needs: [join_ethnicity]
    outputs:
      moderately_sensitive:
        measure_csv: output/data/measure_*.csv
  
  ## Process data
  data_process:
    run: r:latest analysis/process/process_data.R
    needs: [generate_measures]
    outputs:
      moderately_sensitive:
        data: output/data/data_*.csv
 
  # Results ----
        
  # ## Table 1
  # table_1:
  #   run: r:latest analysis/descriptive/table_1.R
  #   needs: [data_process]
  #   outputs:
  #     moderately_sensitive:
  #       plots: output/tables/table1.csv
  # 
  # ## Table 2
  # table_2:
  #   run: r:latest analysis/descriptive/table_2.R
  #   needs: [data_process]
  #   outputs:
  #     moderately_sensitive:
  #       plots: output/tables/table2*.csv
        
  # ## Figures
  # summary_figures:
  #   run: r:latest analysis/descriptive/summary_plots.R
  #   needs: [data_process]
  #   outputs:
  #     moderately_sensitive:
  #       plot1: output/figures/total_*.png
  #       plot2: output/figures/new_*.png

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 03:43:12

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

Job request

Status
Succeeded
Backend
TPP
Workspace
antipsychotics-prescribing-during-covid-19-master
Requested by
Millie Green
Branch
master
Force run dependencies
No
Git commit hash
22b4586
Requested actions
  • extract_ethnicity
  • join_ethnicity
  • generate_measures
  • data_process

Code comparison

Compare the code used in this job request