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Job request: 10538

Organisation:
University of Bristol
Workspace:
vaccine-effectiveness-in-children
ID:
noo5k65xq6evrzlg
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Will Hulme 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 
version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_study_treated:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_treated  --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input_treated.feather
        
  data_process_treated:
    run: r:latest analysis/data_process_treated.R over12
    needs:
    - generate_study_treated
    outputs:
      highly_sensitive:
        rds: output/data/data_treated_eligible.rds
      moderately_sensitive:
        flowchart: output/data/flowchart_treated_eligible.csv


  ## matching round 1
  
  generate_study_control_potential1:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_control_potential --output-format feather --index-date-range "2021-09-20 to 2021-09-20 by week"
    outputs:
      highly_sensitive:
        cohort: output/input_control_potential_2021-09-20.feather

 
  data_process_control_potential1:
    run: r:latest analysis/data_process_control.R over12 1
    needs:
    - generate_study_control_potential1
    outputs:
      highly_sensitive:
        rds: output/data/data_control_potential1.rds
 
  matching1:
    run: r:latest analysis/matching.R over12 1
    needs:
    - data_process_treated
    - data_process_control_potential1
    outputs:
      highly_sensitive:
        rds1: output/match/data_potential_matchstatus1.rds
        rds2: output/match/data_potential_matched1.rds
        csv: output/match/potential_matched_controls1.csv.gz
 
 
  generate_study_match_control1:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_control_match1 --output-format feather
    needs:
    - matching1
    outputs:
      highly_sensitive:
        cohort: output/input_control_match1.feather 
  
  matching_filter1:
    run: r:latest analysis/matching_filter.R over12 1
    needs:
    - matching1
    - generate_study_match_control1
    outputs:
      highly_sensitive:
        rds1: output/match/data_matchstatus_allrounds1.rds
        rds2: output/match/data_match_actual1.rds
        
        
#   ## matching round 2
  
#   generate_study_control_potential1:
#     run: cohortextractor:latest generate_cohort --study-definition study_definition_control_potential --output-format feather --index-date-range "2021-10-04 to 2021-10-04 by week"
#     outputs:
#       highly_sensitive:
#         cohort: output/input_control_potential_2021-10-04.feather

 
#   data_process_control_potential2:
#     run: r:latest analysis/data_process_control.R over12 2
#     needs:
#     - generate_study_control_potential2
#     outputs:
#       highly_sensitive:
#         rds: output/data/data_control_potential2.rds
 
#   matching2:
#     run: r:latest analysis/matching.R over12 2
#     needs:
#     - data_matching_filter1
#     - data_process_treated
#     - data_process_control_potential2
#     outputs:
#       highly_sensitive:
#         rds1: output/match/data_potential_matchstatus2.rds
#         rds2: output/match/data_potential_matched2.rds
#         csv: output/match/potential_matched_controls2.csv.gz
 
 
#   generate_study_match_control2:
#     run: cohortextractor:latest generate_cohort --study-definition study_definition_control_match2 --output-format feather
#     needs:
#     - matching2
#     outputs:
#       highly_sensitive:
#         cohort: output/input_control_match2.feather 
  
#   matching_filter2:
#     run: r:latest analysis/matching_filter.R over12 2
#     needs:
#     - matching_filter1
#     - matching2
#     - generate_study_match_control2
#     outputs:
#       highly_sensitive:
#         rds1: output/match/data_matchstatus_allrounds2.rds
#         rds2: output/match/data_match_actual2.rds


# ## combine together

#   matching_combine:
#     run: r:latest analysis/matching_combine.R over12
#     needs:
#     - matching_filter1
#     - matching_filter2
#     outputs:
#       highly_sensitive:
#         rds: output/match/data_match_all.rds

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 01:46:30

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

Job request

Status
Failed
Backend
TPP
Workspace
vaccine-effectiveness-in-children
Requested by
Will Hulme
Branch
main
Force run dependencies
No
Git commit hash
4955622
Requested actions
  • generate_study_match_control1

Code comparison

Compare the code used in this job request