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Job request: 14001

Organisation:
University of Manchester
Workspace:
ab_adverse_drug_reaction
ID:
66hsx6jizptkf2kf
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Billy Zhong 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:
    process_1
    Status:
    Status: Succeeded
    Job identifier:
    biyclfsln4a2k5ro

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 30000

actions:

### study cohort ###
  generate_study_population_case:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_case
    outputs:
      highly_sensitive:
        cohort: output/input_case.csv

  generate_study_population_control:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_control
    outputs:
      highly_sensitive:
        cohort: output/input_control.csv

### extract patient_id & index_date in case ###

  process_1:  
    run: r:latest analysis/process_1.R
    needs: [generate_study_population_case,generate_study_population_control]
    outputs:
      moderately_sensitive:
        table1: output/table_case_0.csv
        table2: output/table_case_1.csv
        table3: output/table_control_0.csv
        table4: output/table_control_1.csv
      highly_sensitive: 
        case_csv: output/case_csv.csv
        match_csv: output/match_csv.csv


  matching_1:
    run: python:latest python analysis/matching.py
    needs: [process_1]
    outputs:
      highly_sensitive: 
        table1: output/matched_cases.csv
        table2: output/matched_matches.csv
        table3: output/matched_combined.csv
      moderately_sensitive: 
        report1: output/matching_report.txt

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:01:22

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

Job information

Status
Succeeded
Backend
TPP
Workspace
ab_adverse_drug_reaction
Requested by
Billy Zhong
Branch
ab_sideeffect
Force run dependencies
No
Git commit hash
066b91f
Requested actions
  • process_1

Code comparison

Compare the code used in this Job Request