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Job request: 10096

Organisation:
ISARIC
Workspace:
hdruk-os-covid-paeds
ID:
mkrk7pclarhl5kmu

This page shows the technical details of what happened when the authorised researcher James Farrell 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_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input.csv.gz

  generate_dummy_data:
    run: r:latest analysis/01_generate_dummy_data.R
    needs: [generate_study_population]
    outputs:
      highly_sensitive:
        dummy_data_admissions: output/dummy_data/dummy_data_admissions.csv.gz
        dummy_data_outpatient: output/dummy_data/dummy_data_outpatient.csv.gz
        dummy_data_gp: output/dummy_data/dummy_data_gp.csv.gz
        dummy_data_testing_negative: output/dummy_data/dummy_data_testing_negative.csv.gz
        dummy_data_testing_positive: output/dummy_data/dummy_data_testing_positive.csv.gz

  generate_admissions:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_admissions
        --index-date-range "2018-10-01 to 2022-05-02 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    dummy_data_file: output/dummy_data/dummy_data_admissions.csv.gz
    needs: [generate_dummy_data]
    outputs:
      highly_sensitive:
        data_admissions: output/data_weekly/input_admissions_20*.csv.gz

  generate_outpatient:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_outpatient
        --index-date-range "2019-03-11 to 2022-05-02 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    dummy_data_file: output/dummy_data/dummy_data_outpatient.csv.gz
    needs: [generate_dummy_data]
    outputs:
      highly_sensitive:
        data_outpatient: output/data_weekly/input_outpatient_20*.csv.gz

  generate_gp:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_gp
        --index-date-range "2018-12-31 to 2018-12-31 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    outputs:
      highly_sensitive:
        data_gp_contacts: output/data_weekly/input_gp_20*.csv.gz

  generate_gp_disorder:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_gp_disorder
        --index-date-range "2018-12-31 to 2018-12-31 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    outputs:
      highly_sensitive:
        data_gp_contacts: output/data_weekly/input_gp_disorder_20*.csv.gz

  generate_gp_finding:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_gp_finding
        --index-date-range "2018-12-31 to 2022-05-02 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    outputs:
      highly_sensitive:
        data_gp_contacts: output/data_weekly/input_gp_finding_20*.csv.gz

  generate_gp_procedure:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_gp_procedure
        --index-date-range "2018-12-31 to 2022-05-02 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    outputs:
      highly_sensitive:
        data_gp_contacts: output/data_weekly/input_gp_procedure_20*.csv.gz

  generate_gp_regime_therapy:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_gp_regime_therapy
        --index-date-range "2018-12-31 to 2022-05-02 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    outputs:
      highly_sensitive:
        data_gp_contacts: output/data_weekly/input_gp_regime_therapy_20*.csv.gz

  generate_gp_observable_entity:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_gp_observable_entity
        --index-date-range "2018-12-31 to 2022-05-02 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    outputs:
      highly_sensitive:
        data_gp_contacts: output/data_weekly/input_gp_observable_entity_20*.csv.gz

  generate_gp_specimen:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_gp_specimen
        --index-date-range "2018-12-31 to 2022-05-02 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    outputs:
      highly_sensitive:
        data_gp_contacts: output/data_weekly/input_gp_specimen_20*.csv.gz

  generate_covid_tests_negative:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_covid_tests_negative
        --index-date-range "2019-12-30 to 2022-05-02 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    dummy_data_file: output/dummy_data/dummy_data_testing_negative.csv.gz
    needs: [generate_dummy_data]
    outputs:
      highly_sensitive:
        data_negative_tests: output/data_weekly/input_covid_tests_negative_20*.csv.gz

  generate_covid_tests_positive:
    run: >
      cohortextractor:latest generate_cohort
        --study-definition study_definition_covid_tests_positive
        --index-date-range "2019-12-30 to 2022-05-02 by week"
        --output-format csv.gz
        --output-dir=output/data_weekly
    dummy_data_file: output/dummy_data/dummy_data_testing_positive.csv.gz
    needs: [generate_dummy_data]
    outputs:
      highly_sensitive:
        data_positive_tests: output/data_weekly/input_covid_tests_positive_20*.csv.gz

  process_patient_ids:
    run: r:latest analysis/02_process_patient_ids.R
    needs: [generate_study_population]
    outputs:
      highly_sensitive:
        data_id: output/data/data_id.rds

  process_admissions_data:
    run: r:latest analysis/02_process_admissions_data.R
    needs: [generate_admissions, process_patient_ids]
    outputs:
      highly_sensitive:
        data_admissions: output/data/data_admissions.rds
      moderately_sensitive:
        diagnostics_admissions: output/diagnostics/diagnostics_admissions.csv
        diagnostics_admissions2: output/diagnostics/overlap_admissions.csv
        plots_admissions: output/descriptives/data_admissions/*.jpeg

  process_outpatient_data:
    run: r:latest analysis/02_process_outpatient_data.R
    needs: [generate_outpatient, process_patient_ids]
    outputs:
      highly_sensitive:
        data_outpatient: output/data/data_outpatient.rds
      moderately_sensitive:
        diagnostics_outpatient: output/diagnostics/diagnostics_outpatient.csv
        plots_outpatient: output/descriptives/data_outpatient/*.jpeg

  process_gp_data:
    run: r:latest analysis/02_process_gp_data.R
    needs: [generate_gp_disorder, generate_gp_finding, generate_gp_procedure, generate_gp_regime_therapy,
            generate_gp_observable_entity, generate_gp_specimen, process_patient_ids]
    outputs:
      highly_sensitive:
        data_gp: output/data/data_gp.rds
      moderately_sensitive:
        diagnostics_gp: output/diagnostics/diagnostics_gp.csv

  process_testing_data:
    run: r:latest analysis/02_process_testing_data.R
    needs: [generate_covid_tests_negative, generate_covid_tests_positive, process_patient_ids]
    outputs:
      highly_sensitive:
        data_testing: output/data/data_testing.rds
      moderately_sensitive:
        diagnostics_testing: output/diagnostics/diagnostics_testing.csv
        plots_testing: output/descriptives/data_testing/*.jpeg

  process_patient_data:
    run: r:latest analysis/02_process_patient_data.R
    needs: [generate_study_population, process_admissions_data, process_testing_data]
    outputs:
      highly_sensitive:
        data_patient: output/data/data_patient.rds

  summarise_datasets:
    run: r:latest -e 'rmarkdown::render("analysis/04_summary_datasets.Rmd", output_dir = "output/descriptives")'
    needs: [process_patient_data, process_testing_data, process_admissions_data, process_outpatient_data, process_gp_data]
    outputs:
      moderately_sensitive:
        summary_datasets_html: output/descriptives/04_summary_datasets.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:03:25

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

Job information

Status
Succeeded
Backend
TPP
Requested by
James Farrell
Branch
main
Force run dependencies
No
Git commit hash
a95be12
Requested actions
  • generate_gp_disorder

Code comparison

Compare the code used in this Job Request