Skip to content

Job request: 21684

Organisation:
The London School of Hygiene & Tropical Medicine
Workspace:
shielding_evaluation
ID:
ivmtfzkqggv3sk6t

This page shows the technical details of what happened when the authorised researcher Johnny Filipe 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:
    HD_data
    Status:
    Status: Succeeded
    Job identifier:
    myfutjme34mu3czn
  • Action:
    HD_data_questions
    Status:
    Status: Succeeded
    Job identifier:
    dlqq4zkc4cehybsn

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_dataset:
    run: >
      databuilder:v0 
        generate-dataset analysis/databuilder_definition.py --output output/dataset_all.csv.gz
    outputs:
      highly_sensitive:
        dataset_all: output/dataset_all.csv.gz
  
  clean_the_data: 
    run: > 
      r:latest
        analysis/010_import_data.R
    needs: [generate_dataset]
    outputs: 
      highly_sensitive:
        cleandata: output/data_edited.gz.parquet
      moderately_sensitive: 
        txt1: output/data_properties/clean_dataset_skim.txt
        txt2: output/data_properties/clean_dataset_tabulate.txt
      
  create_table1: 
    run: > 
      r:latest
        analysis/020_create_table1.R
    needs: [clean_the_data]
    outputs: 
      moderately_sensitive: 
        table1: output/tables/shielding_table1.html
        table1_r: output/tables/shielding_table1_redacted.html
        table1_data: output/table1_data.csv
        table2_shielding_v0: output/tables/shielding_table2.html
        table2_shielding_v1: output/tables/shielding_v1_table2.html
        table2_shielding_v2: output/tables/shielding_v2_table2.html
  
  HD_data_questions:
    run: > 
      r:latest
        analysis/SEIUHRD_HDdata_questions.r
    needs: [clean_the_data]
    outputs:
      moderately_sensitive:
        pdf01: output/HDsynthesis/JDat5_HDdata_questions_answered_Hospital_wCH.pdf
        txt01: output/HDsynthesis/JDat5_HDdata_questions_answered_Hospital_wCH.txt
        pdf02: output/HDsynthesis/JDat5_HDdata_questions_answered_Deaths_wCH.pdf
        txt02: output/HDsynthesis/JDat5_HDdata_questions_answered_Deaths_wCH.txt
        pdf03: output/HDsynthesis/JDat5_HDdata_questions_answered_Shielding_wCH.pdf
        txt03: output/HDsynthesis/JDat5_HDdata_questions_answered_Shielding_wCH.txt
        pdf04: output/HDsynthesis/JDat5_HDdata_questions_answered_Hospital.pdf
        txt04: output/HDsynthesis/JDat5_HDdata_questions_answered_Hospital.txt
        pdf05: output/HDsynthesis/JDat5_HDdata_questions_answered_Deaths.pdf
        txt05: output/HDsynthesis/JDat5_HDdata_questions_answered_Deaths.txt
        pdf06: output/HDsynthesis/JDat5_HDdata_questions_answered_Shielding.pdf
        txt06: output/HDsynthesis/JDat5_HDdata_questions_answered_Shielding.txt

  HD_data:
    run: > 
      r:latest
        analysis/SEIUHRD_HDdata.r
    needs: [clean_the_data]
    outputs:
      moderately_sensitive:
        pdf01b: output/HDsynthesis/JDat5_HDdata_H,D_Carehomes.pdf
        pdf02b: output/HDsynthesis/JDat5_HDdata_H,HR,DH,DO.pdf
        pdf03b: output/HDsynthesis/JDat5_HDdata_Incidence.pdf
        txt01b: output/HDsynthesis/JDat5_HDdata_summary.txt
        csv01b: output/HDsynthesis/JDat5_HDdata_H_Carehomes.csv
        csv02b: output/HDsynthesis/JDat5_HDdata_D_Carehomes.csv
        csv03b: output/HDsynthesis/JDat5_HDdata_DH_Carehomes.csv
        csv04b: output/HDsynthesis/JDat5_HDdata_DO_Carehomes.csv
        csv05b: output/HDsynthesis/JDat5_Hdata.csv
        csv06b: output/HDsynthesis/JDat5_HRdata.csv
        csv07b: output/HDsynthesis/JDat5_DHdata.csv
        csv08b: output/HDsynthesis/JDat5_DOdata.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:13:30

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

Job information

Status
Succeeded
Backend
TPP
Requested by
Johnny Filipe
Branch
main
Force run dependencies
No
Git commit hash
f7425c8
Requested actions
  • HD_data_questions
  • HD_data

Code comparison

Compare the code used in this Job Request