Job request: 23348
- Organisation:
- The London School of Hygiene & Tropical Medicine
- Workspace:
- covid_collateral_hf
- ID:
- x7ucz52giv6oufzs
This page shows the technical details of what happened when the authorised researcher Emily Herrett 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
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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
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- Job identifier:
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c2frlh5yjtnz6s75
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- Job identifier:
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gtayusp2kqrygdwc
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- Job identifier:
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iobkowjpez4hbbce
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- Job identifier:
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wclsca2g4oc3m6iq
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- Job identifier:
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n46btlr6gcua5ks6
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- Job identifier:
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v4tw5j4phr62qhd2
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- Job identifier:
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7hv54t75e2uiujox
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- Job identifier:
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sku4xuh6jumthex4 - Error:
- nonzero_exit: Job exited with an error
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- Job identifier:
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tdqptewyfqnn6vjz - Error:
- nonzero_exit: Job exited with an error
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- Job identifier:
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skciyumfypgrfeww - Error:
- dependency_failed: Not starting as dependency failed
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- Job identifier:
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3f5d32dx26qpagwk - Error:
- dependency_failed: Not starting as dependency failed
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 100000
actions:
#Study definition
generate_study_population_prevalent_2018:
run: cohortextractor:latest generate_cohort --study-definition study_definition_prevalent_2018
outputs:
highly_sensitive:
cohort: output/input_prevalent_2018.csv
generate_study_population_prevalent_2019:
run: cohortextractor:latest generate_cohort --study-definition study_definition_prevalent_2019
outputs:
highly_sensitive:
cohort: output/input_prevalent_2019.csv
generate_study_population_prevalent_2020:
run: cohortextractor:latest generate_cohort --study-definition study_definition_prevalent_2020
outputs:
highly_sensitive:
cohort: output/input_prevalent_2020.csv
generate_study_population_prevalent_2021:
run: cohortextractor:latest generate_cohort --study-definition study_definition_prevalent_2021
outputs:
highly_sensitive:
cohort: output/input_prevalent_2021.csv
generate_study_population_prevalent_2022:
run: cohortextractor:latest generate_cohort --study-definition study_definition_prevalent_2022
outputs:
highly_sensitive:
cohort: output/input_prevalent_2022.csv
generate_study_population_prevalent_2023:
run: cohortextractor:latest generate_cohort --study-definition study_definition_prevalent_2023
outputs:
highly_sensitive:
cohort: output/input_prevalent_2023.csv
generate_study_population_incident:
run: cohortextractor:latest generate_cohort --study-definition study_definition_incident
outputs:
highly_sensitive:
cohort: output/input_incident.csv
# Generate datasets for analysis 000 and 001
generate_analysis_dataset_prevalent:
run: stata-mp:latest analysis/000_cr_define_covariates_prevalent.do
needs: [generate_study_population_prevalent_2018, generate_study_population_prevalent_2019, generate_study_population_prevalent_2020, generate_study_population_prevalent_2021, generate_study_population_prevalent_2022, generate_study_population_prevalent_2023]
outputs:
highly_sensitive:
cohort: output/prevalent_cohort*.dta
generate_analysis_dataset_incident:
run: stata-mp:latest analysis/001_cr_define_covariates_incident.do
needs: [generate_study_population_incident]
outputs:
highly_sensitive:
cohort: output/incident_cohort*.dta
# Generate drug prevalence estimates for incident and prevalent cohorts 102 & 202
generate_drugprevalence_incident:
run: stata-mp:latest analysis/102_cr_incident_cohort_prevalence.do
needs: [generate_analysis_dataset_incident]
outputs:
moderately_sensitive:
output: output/tabfig/incident_prevalences_summary*.csv
# graph: output/tabfig/incident_prevalences*.svg
generate_drugprevalence_prevalent:
run: stata-mp:latest analysis/202_cr_prevalent_cohort_prevalence.do
needs: [generate_analysis_dataset_prevalent]
outputs:
moderately_sensitive:
output: output/tabfig/prevalent_prevalences_summary*.csv
# graph: output/tabfig/prevalent_prevalences*.svg
Timeline
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Created:
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Started:
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Finished:
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Runtime: 45:34:29
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
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Failed
- Backend
- TPP
- Workspace
- covid_collateral_hf
- Requested by
- Emily Herrett
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 9260b6d
- Requested actions
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generate_study_population_prevalent_2018 -
generate_study_population_prevalent_2019 -
generate_study_population_prevalent_2020 -
generate_study_population_prevalent_2021 -
generate_study_population_prevalent_2022 -
generate_study_population_prevalent_2023 -
generate_study_population_incident -
generate_analysis_dataset_prevalent -
generate_analysis_dataset_incident -
generate_drugprevalence_incident -
generate_drugprevalence_prevalent -
run_all
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Code comparison
Compare the code used in this job request
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