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Job request: 23750

Organisation:
University of Manchester
Workspace:
main_pregnancy_sdr
ID:
hrlfk7ic44z3vdl5
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Vicki Palin UoM 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'

# Ignore this`expectation` block. It is required but not used, and will be removed in future versions.
expectations:
  population_size: 1000

actions:
## Short data report work ##
  generate_study_population_SDR:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset.csv.gz
    outputs:
      highly_sensitive:
        dataset: output/dataset.csv.gz

  generate_study_population_AnyCode_SDR:
    run: ehrql:v1 generate-dataset analysis/dataset_definition_any_antenatal.py --output output/dataset_anycode.csv.gz
    outputs:
      highly_sensitive:
        dataset: output/dataset_anycode.csv.gz

### tables for DeliveryCode SDR cohort
  describe_SDR_cohort_with_delivery_codes:
    run: r:latest analysis/DeliveryCohort_baseline_table_SDR.R
    needs: [generate_study_population_SDR]
    outputs:
      moderately_sensitive:
          patient_numbers: output/patient_numbers_deliverycodes_cohort_SDR.csv
          cohort_contin_overall: output/SDR_table_continuous_vars_delcode_cohort.csv
          cohorts_catagorical_overall: output/SDR_table_categorical_delcode_cohort.csv

  describe_SDR_cohort_with_delivery_codes_minmax_meanSD:
    run: r:latest analysis/DeliveryCohort_baseline_table_SDR_minmax.R
    needs: [generate_study_population_SDR]
    outputs:
      moderately_sensitive:
          patient_nums: output/patient_numbers_deliverycodes_cohort_SDR_minmax.csv
          cohorts_minmax: output/SDR_table_minmax_delcode_cohort.csv
          cohorts_meanSD: output/SDR_table_meanSD_delcode_cohort.csv

### tables for any antenatal code 5 year cohort
  describe_SDR_cohort_with_any_antenatal_code:
    run: r:latest analysis/AntenatalCohort_baseline_table_SDR.R
    needs: [generate_study_population_AnyCode_SDR]
    outputs:
      moderately_sensitive:
          patient_numbers: output/patient_numbers_antenatal_cohort_SDR.csv
          cohort_contin_overall: output/SDR_table_continuous_vars_antenatal_cohort.csv
          cohorts_catagorical_overall: output/SDR_table_categorical_antenatal_cohort.csv

# plots of antenatal data 
  describe_antenatal_cohort_plots: 
    run: r:latest analysis/AntenatalCohort_timeseries_plots.R
    needs: [generate_study_population_AnyCode_SDR]
    outputs:
      moderately_sensitive:
          antenatal_first_csv: output/first_antenatal_codes_by_month_year.csv
          antenatal_first_plot: output/first_antenatal_codes_by_month_year.jpeg
          antenatal_plot_code_freq: output/antenatalCohort_box-and-whisker_code_counts.jpeg

  describe_SDR_cohort_with_any_antenatal_code_minmax_meanSD:
    run: r:latest analysis/AntenatalCohort_baseline_table_SDR_minmax.R
    needs: [generate_study_population_AnyCode_SDR]
    outputs:
      moderately_sensitive:
          patient_nums: output/patient_numbers_AntenatalCohort_SDR_minmax.csv
          cohorts_minmax: output/SDR_table_minmax_AntenatalCohort.csv
          cohorts_meanSD: output/SDR_table_meanSD_AntenatalCohort.csv

# describe delivery code episodes
  describe_antenatal_cohort_delivery_episodes:
    run: r:latest analysis/AntenatalCohort_num_deliveries_each.R
    needs: [generate_study_population_AnyCode_SDR]
    outputs:
      moderately_sensitive:
          by_NAs: output/df_count_NAs_for_del_episodes.csv
          not_missing_dates: output/df_count_del_episodes.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:39

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

Job information

Status
Succeeded
Backend
TPP
Workspace
main_pregnancy_sdr
Requested by
Vicki Palin UoM
Branch
main
Force run dependencies
No
Git commit hash
56bce91
Requested actions
  • describe_SDR_cohort_with_any_antenatal_code_minmax_meanSD

Code comparison

Compare the code used in this Job Request