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Job request: 7185

Organisation:
University of Leeds
Workspace:
all_cause_mortality_with_stratification
ID:
jfogq2ewamnesat4
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Ciarán D. McInerney 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_population:
        # run: cohortextractor:latest generate_cohort --study-definition study_definition
        # outputs:
            # highly_sensitive:
                # cohort: output/input.csv

    # generate_study_population_cohort_check:
        # run: cohortextractor:latest generate_cohort --study-definition study_definition_flow_chart
        # outputs:
            # highly_sensitive:
                # cohort: output/input_*.csv
            
    # check_cohort:
        # run: r:latest analysis/check_cohort.R
        # needs: [generate_study_population_cohort_check]
        # outputs:
            # moderately_sensitive:
                # cohort: output/check_cohort.csv

    # generate_study_population_codelist_check:
        # run: cohortextractor:latest generate_cohort --study-definition study_definition_codelist_check
        # outputs:
            # highly_sensitive:
                # cohort: output/input_*.csv
                
    generate_study_population_vacc_check:
        run: cohortextractor:latest generate_cohort --study-definition study_definition_vacc_check
        outputs:
            highly_sensitive:
                cohort: output/input_vacc_check.csv
            
    # check_codelist:
        # run: r:latest analysis/check_codelist.R
        # needs: [generate_study_population_codelist_check]
        # outputs:
            # moderately_sensitive:
                # cohort: output/check_codelist.csv
                
    # 4wk_onboarding:
        # run: r:latest analysis/report.R
        # needs: [generate_study_population]
        # outputs:
            # moderately_sensitive:
                # n_patients: output/count_patients.csv
                ##cohort1: output/plot_postOp_mortality_30day.png
                # subtable_table1_ageGroup: output/table1_ageGroup.csv
                # subtable_table1_Sex: output/table1_Sex.csv
                # subtable_table1_30dayMortality: output/table1_postOp_mortality_30day.csv
                # table1_df_4wk: output/table1_4wk_onboarding.csv
                ##table1_kable_4wk: output/Table1_4wk_onboarding.png
                # subtable_table1_ageGroup_3mths: output/table1_ageGroup_3mths.csv
                # subtable_table1_Sex_3mths: output/table1_Sex_3mths.csv
                # subtable_table1_30dayMortality_3mths: output/table1_postOp_mortality_30day_3mths.csv
                # table1_df_4wk_3mths: output/table1_4wk_onboarding_3mths.csv
                ##table1_kable_4wk_3mths: output/Table1_4wk_onboarding_3mths.png
                # subtable_table1_ageGroup_6mths: output/table1_ageGroup_6mths.csv
                # subtable_table1_Sex_6mths: output/table1_Sex_6mths.csv
                # subtable_table1_30dayMortality_6mths: output/table1_postOp_mortality_30day_6mths.csv
                # table1_df_4wk_6mths: output/table1_4wk_onboarding_6mths.csv
                ##table1_kable_4wk_6mths: output/Table1_4wk_onboarding_6mths.png
                # tableVacc_30dayMortality: output/tableVacc_postOp_mortality_30day.csv
                # tableVacc_df: output/table_Vaccination_status.csv
                ##tableVacc_kable: output/TableVacc.png
                # tableVacc_30dayMortality_3mths: output/tableVacc_postOp_mortality_30day_3mths.csv
                # tableVacc_df_3mths: output/table_Vaccination_status_3mths.csv
                ##tableVacc_kable_3mths: output/TableVacc_3mths.png
                # tableVacc_30dayMortality_6mths: output/tableVacc_postOp_mortality_30day_6mths.csv
                # tableVacc_df_6mths: output/table_Vaccination_status_6mths.csv
                ##tableVacc_kable_6mths: output/TableVacc_6mths.png
    
    vacc_definition_check:
        run: r:latest analysis/vacc_check.R
        needs: [generate_study_population_vacc_check]
        outputs:
            moderately_sensitive:
                tableVacc_30dayMortality_3mths_SNOMED: output/SNOMED_tableVacc_postOp_mortality_30day_3mths.csv
                tableVacc_30dayMortality_3mths_TPP: output/TPP_tableVacc_postOp_mortality_30day_3mths.csv
                tableVacc_30dayMortality_3mths_AlwynSNOMED: output/AlwynSNOMED_tableVacc_postOp_mortality_30day_3mths.csv
                tableVacc_30dayMortality_3mths_AlwynTPP: output/AlwynTPP_tableVacc_postOp_mortality_30day_3mths.csv
                tableVacc_df_check_3mths_SNOMED: output/SNOMED_table_Vaccination_status_3mths.csv
                tableVacc_df_check_3mths_TPP: output/TPP_table_Vaccination_status_3mths.csv
                tableVacc_df_check_3mths_AlwynSNOMED: output/AlwynSNOMED_table_Vaccination_status_3mths.csv
                tableVacc_df_check_3mths_AlwynTPP: output/AlwynTPP_table_Vaccination_status_3mths.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:04:16

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

Job request

Status
Succeeded
Backend
TPP
Workspace
all_cause_mortality_with_stratification
Requested by
Ciarán D. McInerney
Branch
main
Force run dependencies
Yes
Git commit hash
bcd3e14
Requested actions
  • run_all

Code comparison

Compare the code used in this job request