Job request: 6537
- Organisation:
- The UK Renal Registry
- Workspace:
- renal_sdr
- ID:
- r5skkvxgakw3jqj2
This page shows the technical details of what happened when the authorised researcher Louis Fisher 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:
-
sj7bpmhsy6a5l2mw
Pipeline
Show project.yaml
version: "3.0"
expectations:
population_size: 1000
actions:
generate_study_population:
run: cohortextractor:latest generate_cohort
--study-definition study_definition
--index-date-range "2019-01-01 to 2022-02-01 by month"
--output-format csv.gz
outputs:
highly_sensitive:
cohort: output/input*.csv.gz
generate_study_population_ckd:
run: cohortextractor:latest generate_cohort
--study-definition study_definition_ckd
--index-date-range "2019-01-01 to 2022-02-01 by month"
--output-format csv.gz
outputs:
highly_sensitive:
cohort: output/input_ckd*.csv.gz
generate_study_population_ethnicity:
run: cohortextractor:latest generate_cohort
--study-definition study_definition_ethnicity
--output-dir=output
--output-format csv.gz
outputs:
highly_sensitive:
cohort: output/input_ethnicity.csv.gz
join_cohorts:
run: >
cohort-joiner:v0.0.9
--lhs output/input_20*.csv.gz
--rhs output/input_ethnicity.csv.gz
--output-dir output/joined
needs: [generate_study_population, generate_study_population_ethnicity]
outputs:
highly_sensitive:
cohort: output/joined/input_20*.csv.gz
join_cohorts_ckd:
run: >
cohort-joiner:v0.0.9
--lhs output/input_ckd_20*.csv.gz
--rhs output/input_ethnicity.csv.gz
--output-dir output/joined
needs: [generate_study_population_ckd, generate_study_population_ethnicity]
outputs:
highly_sensitive:
cohort: output/joined/input_ckd_20*.csv.gz
generate_measures:
run: cohortextractor:latest generate_measures
--study-definition study_definition
--output-dir=output/joined
needs: [join_cohorts]
outputs:
moderately_sensitive:
measure_csv: output/joined/measure_*_rate.csv
generate_measures_ckd:
run: cohortextractor:latest generate_measures
--study-definition study_definition_ckd
--output-dir=output/joined
needs: [join_cohorts_ckd]
outputs:
moderately_sensitive:
measure_csv: output/joined/measure*_rate.csv
get_counts:
run: python:latest python analysis/combine_operators.py
needs: [join_cohorts]
outputs:
moderately_sensitive:
counts: output/*_coun*.csv
generate_plots:
run: python:latest python analysis/plot_measures.py
needs: [generate_measures]
outputs:
moderately_sensitive:
counts: output/figures/plot_*.jpeg
generate_plots_numeric_values:
run: python:latest python analysis/plot_numeric_values.py
needs: [join_cohorts]
outputs:
moderately_sensitive:
counts: output/*dist*.csv
figures: output/*dist*.jpeg
generate_notebook:
run: jupyter:latest jupyter nbconvert /workspace/analysis/report.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
needs: [generate_plots, get_counts]
outputs:
moderately_sensitive:
notebook: output/report.html
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 01:46:26
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Code comparison
Compare the code used in this Job Request