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Job request: 10630

Organisation:
University of Bristol
Workspace:
vaccine-effectiveness-in-children
ID:
ldh7fhpnp6tlw7nl
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Colm Andrews 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

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

  generate_dataset_report:
    run: >
      dataset-report:v0.0.9
        --input-files output/input_treated.feather
        --output-dir output/
    needs: [generate_study_treated]
    outputs:
      moderately_sensitive:
        dataset_report: output/input_treated.html

  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

# Skim data
  skim_data_treated:
    run: r:latest analysis/data_skim.R output/data/data_treated_eligible.rds output/data_properties
    needs: [data_process_treated]
    outputs: 
      moderately_sensitive:
        txt1: output/data_properties/data_treated_eligible_skim.txt
        txt2: output/data_properties/data_treated_eligible_coltypes.txt
        txt3: output/data_properties/data_treated_eligible_tabulate.txt

  ## 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
 
  skim_potential_matched1:
    run: r:latest analysis/data_skim.R output/match/data_potential_matched1.rds output/data_properties
    needs: [matching1]
    outputs: 
      moderately_sensitive:
        txt1: output/data_properties/data_potential_matched1_skim.txt
        txt2: output/data_properties/data_potential_matched1_coltypes.txt
        txt3: output/data_properties/data_potential_matched1_tabulate.txt
 
  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 

  generate_dataset_report_control_match1:
    run: >
      dataset-report:v0.0.9
        --input-files output/input_control_match1.feather
        --output-dir output/
    needs: [generate_study_match_control1]
    outputs:
      moderately_sensitive:
        dataset_report: output/input_control_match1.html
  
  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: 00:01:40

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

Job information

Status
Succeeded
Backend
TPP
Workspace
vaccine-effectiveness-in-children
Requested by
Colm Andrews
Branch
main
Force run dependencies
No
Git commit hash
5803ee9
Requested actions
  • skim_potential_matched1
  • generate_dataset_report_control_match1

Code comparison

Compare the code used in this Job Request