Job request: 9444
- Organisation:
- University of Bristol
- Workspace:
- lockdown-and-vulnerable-groups
- ID:
- ovelh4jkeqx6la56
This page shows the technical details of what happened when the authorised researcher Scott Walter 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
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- Job identifier:
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dyuvioeag6t6nloz
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- Job identifier:
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uawx4jau634r7mtz
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- Job identifier:
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bpqzeymmamtzryql
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- Job identifier:
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gdh7de34b5xpxlgw
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- Job identifier:
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fsqnwb6ybmk6lhte
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- Job identifier:
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rmhmmmgvz7yhez3g
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- Job identifier:
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ah226f5j6tf53ctd
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- Job identifier:
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3oqc5sieafrh2gwj
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- Job identifier:
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5jw6yq57o2d3rxon
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- Job identifier:
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ev6pn4wn7wgrb36m
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_study_population_1:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-09-02 to 2020-01-13 by week" --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_*.csv.gz
generate_study_population_2:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-01-20 to 2020-06-01 by week" --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input*.csv.gz
generate_study_population_3:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-06-08 to 2020-10-19 by week" --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/inpu*.csv.gz
generate_study_population_4:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-10-26 to 2021-03-01 by week" --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/inp*.csv.gz
generate_study_population_5:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-03-08 to 2021-06-14 by week" --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/in*.csv.gz
generate_study_population_6:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-06-21 to 2021-09-27 by week" --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/i*.csv.gz
generate_measures:
run: cohortextractor:latest generate_measures --study-definition study_definition
needs: [generate_study_population_1, generate_study_population_2, generate_study_population_3, generate_study_population_4, generate_study_population_5, generate_study_population_6]
outputs:
moderately_sensitive:
measure_csv: output/measure_*_rate.csv
run_subgroup_setup:
run: stata-mp:latest analysis/subgroup_data_setup.do
needs: [generate_measures]
outputs:
moderately_sensitive:
subgroup1: output/dva_female.dta
subgroup2: output/dva_male.dta
subgroup3: output/dva_all.dta
subgroup4: output/intdis_sub14.dta
subgroup5: output/intdis_over14.dta
subgroup6: output/intdis_all.dta
subgroup7: output/RCGPsafeguard_sub18.dta
subgroup8: output/CovidNewCaseCounts.dta
run_model_dva_female:
run: stata-mp:latest analysis/model_DVA_female.do
needs: [run_subgroup_setup]
outputs:
moderately_sensitive:
model_dva_female0: output/CITS_dva_female.xlsx
model_dva_female1: output/dva_female2.dta
model_dva_female2: output/dva_female2_ld1.dta
model_dva_female3: output/dva_ratioLoess_f1.svg
model_dva_female4: output/diagnostics/dva_diagnostics_f1.svg
model_dva_female5: output/dva_female_plot1.svg
model_dva_female6: output/dva_female2_ld2.dta
model_dva_female7: output/dva_ratioLoess_f2.svg
model_dva_female8: output/diagnostics/dva_diagnostics_f2.svg
model_dva_female9: output/dva_female_plot2.svg
run_model_dva_male:
run: stata-mp:latest analysis/model_DVA_male.do
needs: [run_subgroup_setup]
outputs:
moderately_sensitive:
model_dva_male0: output/CITS_dva_male.xlsx
model_dva_male1: output/dva_male2.dta
model_dva_male2: output/dva_male2_ld1.dta
model_dva_male3: output/dva_ratioLoess_m1.svg
model_dva_male4: output/diagnostics/dva_diagnostics_m1.svg
model_dva_male5: output/dva_male_plot1.svg
model_dva_male6: output/dva_male2_ld2.dta
model_dva_male7: output/dva_ratioLoess_m2.svg
model_dva_male8: output/diagnostics/dva_diagnostics_m2.svg
model_dva_male9: output/dva_male_plot2.svg
run_model_dva_all:
run: stata-mp:latest analysis/model_DVA_all.do
needs: [run_subgroup_setup]
outputs:
moderately_sensitive:
model_dva_all0: output/CITS_dva.xlsx
model_dva_all1: output/dva_all2.dta
model_dva_all2: output/dva_all2_ld1.dta
model_dva_all3: output/dva_ratioLoess1.svg
model_dva_all4: output/diagnostics/dva_diagnostics1.svg
model_dva_all5: output/dva_plot1.svg
model_dva_all6: output/dva2_ld2.dta
model_dva_all7: output/dva_ratioLoess2.svg
model_dva_all8: output/diagnostics/dva_diagnostics2.svg
model_dva_all9: output/dva_plot2.svg
run_model_opioid:
run: stata-mp:latest analysis/model_opioid.do
needs: [generate_measures]
outputs:
moderately_sensitive:
model_opioid0: output/CITS_opioid.xlsx
model_opioid1: output/opioid.dta
model_opioid2: output/opioid_ld1.dta
model_opioid3: output/opioid_ratioLoess1.svg
model_opioid4: output/diagnostics/opioid_diagnostics1.svg
model_opioid5: output/opioid_plot1.svg
model_opioid6: output/opioid_ld2.dta
model_opioid7: output/opioid_ratioLoess2.svg
model_opioid8: output/diagnostics/opioid_diagnostics2.svg
model_opioid9: output/opioid_plot2.svg
run_model_alc:
run: stata-mp:latest analysis/model_alc.do
needs: [generate_measures]
outputs:
moderately_sensitive:
model_alc0: output/CITS_alc.xlsx
model_alc1: output/alc.dta
model_alc2: output/alc_ld1.dta
model_alc3: output/alc_ratioLoess1.svg
model_alc4: output/diagnostics/alc_diagnostics1.svg
model_alc5: output/alc_plot1.svg
model_alc6: output/alc_ld2.dta
model_alc7: output/alc_ratioLoess2.svg
model_alc8: output/diagnostics/alc_diagnostics2.svg
model_alc9: output/alc_plot2.svg
run_model_drug:
run: stata-mp:latest analysis/model_drug.do
needs: [generate_measures]
outputs:
moderately_sensitive:
model_drug0: output/CITS_drug.xlsx
model_drug1: output/drug.dta
model_drug2: output/drug_ld1.dta
model_drug3: output/drug_ratioLoess1.svg
model_drug4: output/diagnostics/drug_diagnostics1.svg
model_drug5: output/drug_plot1.svg
model_drug6: output/drug_ld2.dta
model_drug7: output/drug_ratioLoess2.svg
model_drug8: output/diagnostics/drug_diagnostics2.svg
model_drug9: output/drug_plot2.svg
run_model_misuse:
run: stata-mp:latest analysis/model_misuse.do
needs: [generate_measures]
outputs:
moderately_sensitive:
model_misuse0: output/CITS_misuse.xlsx
model_misuse1: output/misuse.dta
model_misuse2: output/misuse_ld1.dta
model_misuse3: output/misuse_ratioLoess1.svg
model_misuse4: output/diagnostics/misuse_diagnostics1.svg
model_misuse5: output/misuse_plot1.svg
model_misuse6: output/misuse_ld2.dta
model_misuse7: output/misuse_ratioLoess2.svg
model_misuse8: output/diagnostics/misuse_diagnostics2.svg
model_misuse9: output/misuse_plot2.svg
run_model_safeguard:
run: stata-mp:latest analysis/model_RCGPsafeguard.do
needs: [run_subgroup_setup]
outputs:
moderately_sensitive:
model_safeguard0: output/CITS_safeguard.xlsx
model_safeguard1: output/safeguard.dta
model_safeguard2: output/safeguard_ld1.dta
model_safeguard3: output/safeguard_ratioLoess1.svg
model_safeguard4: output/diagnostics/safeguard_diagnostics1.svg
model_safeguard5: output/safeguard_plot1.svg
model_safeguard6: output/safeguard_ld2.dta
model_safeguard7: output/safeguard_ratioLoess2.svg
model_safeguard8: output/diagnostics/safeguard_diagnostics2.svg
model_safeguard9: output/safeguard_plot2.svg
run_model_intdis_sub14:
run: stata-mp:latest analysis/model_intdis_sub14.do
needs: [run_subgroup_setup]
outputs:
moderately_sensitive:
model_intdis_sub0: output/CITS_intdis_sub14.xlsx
model_intdis_sub1: output/intdis_sub14_2.dta
model_intdis_sub2: output/intdis_sub14_2_ld1.dta
model_intdis_sub3: output/intdis_ratioLoess_jr1.svg
model_intdis_sub4: output/diagnostics/intdis_diagnostics_jr1.svg
model_intdis_sub5: output/intdis_sub14_plot1.svg
model_intdis_sub6: output/intdis_sub14_2_ld2.dta
model_intdis_sub7: output/intdis_ratioLoess_jr2.svg
model_intdis_sub8: output/diagnostics/intdis_diagnostics_jr2.svg
model_intdis_sub9: output/intdis_sub14_plot2.svg
run_model_intdis_over14:
run: stata-mp:latest analysis/model_intdis_over14.do
needs: [run_subgroup_setup]
outputs:
moderately_sensitive:
model_intdis_over0: output/CITS_intdis_over14.xlsx
model_intdis_over1: output/intdis_over14_2.dta
model_intdis_over2: output/intdis_over14_2_ld1.dta
model_intdis_over3: output/intdis_ratioLoess_sr1.svg
model_intdis_over4: output/diagnostics/intdis_diagnostics_sr1.svg
model_intdis_over5: output/intdis_over14_plot1.svg
model_intdis_over6: output/intdis_over14_2_ld2.dta
model_intdis_over7: output/intdis_ratioLoess_sr2.svg
model_intdis_over8: output/diagnostics/intdis_diagnostics_sr2.svg
model_intdis_over9: output/intdis_over14_plot2.svg
Timeline
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Created:
-
Started:
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Finished:
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Runtime: 00:11:45
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
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Failed
- Backend
- TPP
- Workspace
- lockdown-and-vulnerable-groups
- Requested by
- Scott Walter
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 4afff1a
- Requested actions
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run_model_dva_female
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run_model_dva_male
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run_model_dva_all
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run_model_opioid
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run_model_alc
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run_model_drug
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run_model_misuse
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run_model_safeguard
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run_model_intdis_sub14
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run_model_intdis_over14
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Code comparison
Compare the code used in this Job Request