Job request: 17942
- Organisation:
- University of Manchester
- Workspace:
- ab_adverse_drug_reaction
- ID:
- 7zxerdoayfuoq7a5
This page shows the technical details of what happened when the authorised researcher Billy Zhong 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
-
- Job identifier:
-
pkilqbbukkovkh7c
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 30000
actions:
### study cohort ###
generate_study_population:
run: cohortextractor:latest generate_cohort --study-definition study_definition
outputs:
highly_sensitive:
cohort: output/input.csv
generate_study_population_ae:
run: cohortextractor:latest generate_cohort --study-definition study_definition_ae --index-date-range "2019-01-01 to 2023-03-31 by month" --skip-existing --output-dir=output/measures --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/measures/input_ae_*.csv.gz
generate_measures_ae:
run: cohortextractor:latest generate_measures --study-definition study_definition_ae --skip-existing --output-dir=output/measures
needs: [generate_study_population_ae]
outputs:
moderately_sensitive:
measure_csv: output/measures/measure_*.csv
ae_rate_table:
run: r:latest analysis/figure/ae_rate.R
needs: [generate_measures_ae]
outputs:
moderately_sensitive:
table1: output/ae_rate_table.csv
table2: output/ae_rate_forplot.csv
plot1: output/figure_ae_rate.jpeg
infection_table:
run: r:latest analysis/figure/infection_table.R
needs: [generate_measures_ae]
outputs:
moderately_sensitive:
table1: output/infection_table.csv
table2: output/infection_forplot.csv
plot1: output/figure_infection.jpeg
generate_study_population_2ae:
run: cohortextractor:latest generate_cohort --study-definition study_definition_2ae --index-date-range "2019-01-01 to 2023-03-31 by month" --skip-existing --output-dir=output/measures --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/measures/input_2ae_*.csv.gz
generate_measures_2ae:
run: cohortextractor:latest generate_measures --study-definition study_definition_2ae --skip-existing --output-dir=output/measures
needs: [generate_study_population_2ae]
outputs:
moderately_sensitive:
measure_csv: output/measures/measure_2ae_*.csv
ae_rate_42days_table:
run: r:latest analysis/figure/ae_rate_42days.R
needs: [generate_measures_2ae]
outputs:
moderately_sensitive:
table1: output/ae_rate_42days_table.csv
table2: output/ae_rate_42days_forplot.csv
plot1: output/figure_ae_42days_rate.jpeg
ae_rate_42days_nocovid_table:
run: r:latest analysis/figure/ae_rate_42days_nocovid.R
needs: [generate_measures_2ae]
outputs:
moderately_sensitive:
table1: output/ae_rate_42days_nocovid_table.csv
table2: output/ae_rate_42days_nocovid_forplot.csv
plot1: output/figure_ae_42days_nocovid_rate.jpeg
###########################################################################
########## case control #########
###########################################################################
### study cohort ###
generate_study_population_case:
run: cohortextractor:latest generate_cohort --study-definition study_definition_case
outputs:
highly_sensitive:
cohort: output/input_case.csv
generate_study_population_control_1:
run: cohortextractor:latest generate_cohort --study-definition study_definition_control_1
outputs:
highly_sensitive:
cohort: output/input_control_1.csv
process_1:
run: r:latest analysis/casecontrol/process_1.R
needs: [generate_study_population_case,generate_study_population_control_1]
outputs:
highly_sensitive:
table1: output/case_1_uti.csv
table2: output/case_1_lrti.csv
table3: output/case_1_urti.csv
table4: output/case_1_sinusitis.csv
table5: output/case_1_ot_externa.csv
table6: output/case_1_ot_media.csv
table7: output/case_1_pneumonia.csv
table8: output/control_1_uti.csv
table9: output/control_1_lrti.csv
table10: output/control_1_urti.csv
table11: output/control_1_sinusitis.csv
table12: output/control_1_ot_externa.csv
table13: output/control_1_ot_media.csv
table14: output/control_1_pneumonia.csv
matching_1:
run: python:latest python analysis/matching_1.py
needs: [process_1]
outputs:
highly_sensitive:
table1: output/matched_cases_1_uti.csv
table2: output/matched_matches_1_uti.csv
table3: output/matched_combined_1_uti.csv
moderately_sensitive:
report1: output/matching_report_1_uti.txt
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:00:59
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- ab_adverse_drug_reaction
- Requested by
- Billy Zhong
- Branch
- ab_sideeffect
- Force run dependencies
- No
- Git commit hash
- 121205f
- Requested actions
-
-
matching_1
-
Code comparison
Compare the code used in this Job Request