Job request: 16836
- Organisation:
- Bennett Institute
- Workspace:
- sro-smr
- ID:
- pqawjrnq72dcud3q
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:
-
nempwhsuzz2qphdi
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 10000
actions:
generate_study_population_smr:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-09-01 to 2021-01-01 by month" --output-dir=output/measures
outputs:
highly_sensitive:
cohort: output/measures/input_*.csv
generate_measures_smr:
run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output/measures
needs: [generate_study_population_smr]
outputs:
moderately_sensitive:
measure_csv: output/measures/measure_*.csv
generate_plots_smr:
run: python:latest python analysis/generate_plots_smr.py
needs: [generate_measures_smr]
outputs:
moderately_sensitive:
figure1: output/figures/population_rates.jpeg
figure2: output/figures/sex_rates.jpeg
figure3: output/figures/region_rates.jpeg
figure4: output/figures/age_rates.jpeg
figure5: output/figures/care_home_status_rates.jpeg
figure6: output/figures/falls_rates.jpeg
figure7: output/figures/hospital_admission_rates.jpeg
figure8: output/figures/smr_decile_chart.jpeg
data: output/measures/measures_df_total_for_plot.csv
generate_notebook:
run: jupyter:latest jupyter nbconvert /workspace/notebooks/SMR_Notebook.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
needs: [generate_measures_smr]
outputs:
moderately_sensitive:
notebook: output/SMR_Notebook.html
Timeline
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Created:
-
Started:
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Finished:
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Runtime: 00:04:02
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Code comparison
Compare the code used in this Job Request