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Job request: 5559

Organisation:
The UK Renal Registry
Workspace:
ckd-coverage-ve
ID:
nvh5dtjxmxcddwe5

This page shows the technical details of what happened when the authorised researcher Ed Parker 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:
    data_process
    Status:
    Status: Succeeded
    Job identifier:
    mlg5iotdimatgfdd
  • Action:
    data_selection
    Status:
    Status: Succeeded
    Job identifier:
    wvua6odpudg5a22t
  • Action:
    cox_model
    Status:
    Status: Failed
    Job identifier:
    zilw5fqylwtuxa4n
  • Action:
    table_1
    Status:
    Status: Succeeded
    Job identifier:
    vrvyqpts7qbdx36x
  • Action:
    data_properties
    Status:
    Status: Succeeded
    Job identifier:
    dbjuveo3kfnn5wne
  • Action:
    logistic_model
    Status:
    Status: Failed
    Job identifier:
    i7llezx6hzc3ozez
  • Action:
    vaccine_coverage
    Status:
    Status: Failed
    Job identifier:
    mbb4oxy4ki7y4u7i

Pipeline

Show project.yaml
######################################
# Script defines project pipeline via series of actions
######################################

version: '3.0'

expectations:
  population_size: 30000

actions:

  # Extract data ----
  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --output-dir=output/data
    outputs:
      highly_sensitive:
        cohort: output/data/input.csv
  
# Process data ----
  data_process:
    run: r:latest analysis/data_process.R
    needs: [generate_study_population]
    outputs:
      highly_sensitive:
        data: output/data/data_processed.rds
        csv: output/data/data_processed.csv
        
# Select cohort ----
  data_selection:
    run: r:latest analysis/data_selection.R
    needs: [data_process]
    outputs:
      highly_sensitive:
        data: output/data/data_cohort.rds
        csv: output/data/data_cohort.csv
      moderately_sensitive:
        csv: output/data/flowchart.csv

 # Data properties ----      
  data_properties:
    run: r:latest analysis/data_properties.R output/data/data_cohort.rds output/data_properties
    needs: [data_selection]
    outputs:
      moderately_sensitive:
        cohort: output/data_properties/data_cohort*.txt
        
  # Table 1 ----
  table_1:
    run: r:latest analysis/table_1.R
    needs: [data_selection]
    outputs:
      highly_sensitive:
        data: output/tables/table1_redacted.rds
      moderately_sensitive:
        table: output/tables/table1_redacted.html
        
  # Cox models - dose-2 coverage ----
  cox_model:
    run: r:latest analysis/cox_model.R
    needs: [data_selection]
    outputs:
      highly_sensitive:
        data1: output/data/data_cox.rds
        data2: output/model/mod_strat_coxph_redacted.rds
        csv: output/data/data_cox.csv
      moderately_sensitive:
        csv: output/model/mod_strat_coxph_redacted.csv
        
  # Logistic models - dose-2 coverage ----
  logistic_model:
    run: r:latest analysis/logistic_model.R
    needs: [cox_model]
    outputs:
      highly_sensitive:
        data: output/model/mod_strat_logistic_redacted.rds
      moderately_sensitive:
        csv: output/model/mod_strat_logistic_redacted.csv

  # Coverage summaries ----
  vaccine_coverage:
    run: r:latest -e 'rmarkdown::render("analysis/vaccine_coverage.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output/markdown")'
    needs: [data_selection, table_1, cox_model, logistic_model]
    outputs:
      moderately_sensitive:
        html: output/markdown/vaccine_coverage.html
        csv: output/tables/coverage_over_time_rounded.csv

  # Check session info for set of packages ----
  #session:
  #  run: r:latest -e 'rmarkdown::render("analysis/session.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output/markdown")'
  #  needs: [data_selection]
  #  outputs:
  #    moderately_sensitive:
  #      html: output/markdown/session.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:37:34

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

Job information

Status
Failed
Backend
TPP
Workspace
ckd-coverage-ve
Requested by
Ed Parker
Branch
main
Force run dependencies
No
Git commit hash
977b112
Requested actions
  • data_process
  • data_selection
  • data_properties
  • table_1
  • cox_model
  • logistic_model
  • vaccine_coverage

Code comparison

Compare the code used in this Job Request