Job request: 20503
- Organisation:
- Bennett Institute
- Workspace:
- isaric-main
- ID:
- r5mz3wdq2rihofbw
This page shows the technical details of what happened when the authorised researcher Millie Green 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:
-
hfa3wqkevesiwfil
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- Job identifier:
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jjydhvmlys4swzwy
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- Job identifier:
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i7y5j6mcwud64k5a
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- Job identifier:
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76c24eigfik4hwos
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- Job identifier:
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raidzrvgx6doyydb
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- Job identifier:
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evenmhpoohcd5xwa
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- Job identifier:
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2fhs2hr6s3y4xwge
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- Job identifier:
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7t4jct6cezkwmjji
Pipeline
Show project.yaml
################################################################################
#
# Description: This script defines the project pipeline - it specifys the
# execution orders for all the code in this repo using a series of
# actions.
#
# Author(s): M Green
# Date last updated: 07/08/2023
#
################################################################################
version: '3.0'
expectations:
population_size: 1000
actions:
# Extract isaric data (ehrQL) ----
extract_first_isaric_admission:
run: >
ehrql:v0 generate-dataset analysis/dataset_definition_isaric.py
--output 'output/admissions/isaric_admission1.csv.gz'
outputs:
highly_sensitive:
csv: output/admissions/isaric_admission1.csv.gz
# Extract sus data (ehrQL)----
extract_first_sus_admission_methodA_ehrQL:
run: >
ehrql:v0
generate-dataset analysis/dataset_definition_sus.py
--output output/admissions/sus_methodA_admission1_ehrQL.csv.gz
--
--admission_method A
outputs:
highly_sensitive:
cohort: output/admissions/sus_methodA_admission1_ehrQL.csv.gz
extract_first_sus_admission_methodB_ehrQL:
run: >
ehrql:v0
generate-dataset analysis/dataset_definition_sus.py
--output output/admissions/sus_methodB_admission1_ehrQL.csv.gz
--
--admission_method B
outputs:
highly_sensitive:
cohort: output/admissions/sus_methodB_admission1_ehrQL.csv.gz
extract_first_sus_admission_methodC_ehrQL:
run: >
ehrql:v0
generate-dataset analysis/dataset_definition_sus.py
--output output/admissions/sus_methodC_admission1_ehrQL.csv.gz
--
--admission_method C
outputs:
highly_sensitive:
cohort: output/admissions/sus_methodC_admission1_ehrQL.csv.gz
# Extract sus data (cohortextractor)----
extract_sus_methodA_admission1_cohortextractor:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_sus
--output-file output/admissions/sus_methodA_admission1_cohortextractor.csv.gz
--param admission_number=1
--param admission_method=A
outputs:
highly_sensitive:
csv: output/admissions/sus_methodA_admission1_cohortextractor.csv.gz
extract_sus_methodB_admission1_cohortextractor:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_sus
--output-file output/admissions/sus_methodB_admission1_cohortextractor.csv.gz
--param admission_number=1
--param admission_method=B
outputs:
highly_sensitive:
csv: output/admissions/sus_methodB_admission1_cohortextractor.csv.gz
extract_sus_methodC_admission1_cohortextractor:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_sus
--output-file output/admissions/sus_methodC_admission1_cohortextractor.csv.gz
--param admission_number=1
--param admission_method=C
outputs:
highly_sensitive:
csv: output/admissions/sus_methodC_admission1_cohortextractor.csv.gz
# Data properties ----
data_properties:
run: >
r:latest
analysis/rcode/descriptive/data_properties.R
output/admissions/isaric_admission1.csv.gz
output/admissions/sus_methodA_admission1_cohortextractor.csv.gz
output/admissions/sus_methodA_admission1_ehrQL.csv.gz
output/data_properties
needs: [extract_first_isaric_admission, extract_sus_methodA_admission1_cohortextractor, extract_first_sus_admission_methodA_ehrQL]
outputs:
moderately_sensitive:
txt1: output/data_properties/*.txt
# ehrQL vs cohortextractor ----
ehrQL_vs_cohortextractor_comparison:
run: >
r:latest
analysis/rcode/translation/ehrQL_vs_cohortextractor_comparison.R
needs: [extract_first_sus_admission_methodA_ehrQL, extract_first_sus_admission_methodB_ehrQL, extract_first_sus_admission_methodC_ehrQL, extract_sus_methodA_admission1_cohortextractor, extract_sus_methodB_admission1_cohortextractor, extract_sus_methodC_admission1_cohortextractor]
outputs:
moderately_sensitive:
csv: output/translation/ehrQL_vs_cohortextractor_comparison.csv
# Data processing ----
data_process:
run: >
r:latest
analysis/rcode/process/process_data.R
needs: [extract_first_isaric_admission, extract_first_sus_admission_methodA_ehrQL, extract_first_sus_admission_methodB_ehrQL, extract_first_sus_admission_methodC_ehrQL]
outputs:
highly_sensitive:
rds: output/admissions/processed_*.rds
# Preliminary report ----
validation_report:
run: r:latest -e 'rmarkdown::render("analysis/rcode/validation/validation_report.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output/reports")'
needs: [data_process]
outputs:
moderately_sensitive:
html: output/reports/validation_report.html
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 03:00:34
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- isaric-main
- Requested by
- Millie Green
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 2ccb628
- Requested actions
-
-
extract_first_isaric_admission
-
extract_first_sus_admission_methodA_ehrQL
-
extract_first_sus_admission_methodB_ehrQL
-
extract_first_sus_admission_methodC_ehrQL
-
data_properties
-
data_process
-
validation_report
-
Code comparison
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