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Job request: 4860

Organisation:
Bennett Institute
Workspace:
mabs-codecounts
ID:
r32brpb45rvln6ng

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
################################################################################
#
# Description: This script defines the project pipeline - it specifys the 
#              execution orders for all the code in this repo using a series of 
#              actions.
#
# Author(s): M Green
# Date last updated: 05/01/2022
#
################################################################################

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 "2021-01-01 to 2022-01-01 by week" --output-dir=output/data --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/data/input_*.csv.gz
        
  
  # Data processing ----
  
  ## Generate measures
  generate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output/data
    needs: [extract_data]
    outputs:
      moderately_sensitive:
        measure_csv: output/data/measure_*.csv
  
  ## Calculate weekly counts
  code_counts:
    run: r:latest analysis/process/weekly_code_counts.R
    needs: [extract_data]
    outputs:
      moderately_sensitive:
        data: output/data/data_weekly_counts.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 01:33:55

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

Job request

Status
Succeeded
Backend
TPP
Workspace
mabs-codecounts
Requested by
Millie Green
Branch
code-counts
Force run dependencies
No
Git commit hash
200545c
Requested actions
  • generate_measures

Code comparison

Compare the code used in this job request