Job request: 21660
- Organisation:
- University of Manchester
- Workspace:
- digital-access-to-primary-care
- ID:
- d5qoo2ejnu2jss47
This page shows the technical details of what happened when the authorised researcher Abodunrin Aminu requested one or more actions to be run against real patient data within a secure environment.
By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.
The output security levels are:
-
highly_sensitive
- Researchers can never directly view these outputs
- Researchers can only request code is run against them
-
moderately_sensitive
- Can be viewed by an approved researcher by logging into a highly secure environment
- These are the only outputs that can be requested for public release via a controlled output review service.
Jobs
-
- Job identifier:
-
akojkeewbicjsy7m
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_consultation_dataset_2019-04-01_to_2020-03-31:
run: >
ehrql:v1
generate-dataset analysis/dataset_definition.py
--output output/consultation_dataset_2019-04-01_to_2020-03-31.arrow
--
--start-date "2019-04-01"
--end-date "2020-03-31"
outputs:
highly_sensitive:
study_population: output/consultation_dataset_2019-04-01_to_2020-03-31.arrow
generate_consultation_dataset_2020-04-01_to_2021-03-31:
run: >
ehrql:v1
generate-dataset analysis/dataset_definition.py
--output output/consultation_dataset_2020-04-01_to_2021-03-31.arrow
--
--start-date "2020-04-01"
--end-date "2021-03-31"
outputs:
highly_sensitive:
study_population: output/consultation_dataset_2020-04-01_to_2021-03-31.arrow
generate_consultation_dataset_2021-04-01_to_2022-03-31:
run: >
ehrql:v1
generate-dataset analysis/dataset_definition.py
--output output/consultation_dataset_2021-04-01_to_2022-03-31.arrow
--
--start-date "2021-04-01"
--end-date "2022-03-31"
outputs:
highly_sensitive:
study_population: output/consultation_dataset_2021-04-01_to_2022-03-31.arrow
generate_consultation_measures:
run: >
ehrql:v1
generate-measures analysis/measures_definition.py
--output output/measures/consultation_measures.csv
outputs:
moderately_sensitive:
study_population: output/measures/consultation_measures.csv
summarise_consultation_datasets:
run: >
r:latest analysis/summarise_consultation_dataset.R
needs: [generate_consultation_dataset_2019-04-01_to_2020-03-31, generate_consultation_dataset_2020-04-01_to_2021-03-31, generate_consultation_dataset_2021-04-01_to_2022-03-31]
outputs:
moderately_sensitive:
measure_csv: output/data/summary_consultation_dataset.csv
binary_regression_01:
run: >
r:latest analysis/binary_regression.R
needs: [generate_consultation_dataset_2019-04-01_to_2020-03-31, generate_consultation_dataset_2020-04-01_to_2021-03-31, generate_consultation_dataset_2021-04-01_to_2022-03-31]
outputs:
moderately_sensitive:
measure_txt: output/data/binary_regression.txt
# summarise_consultation_codes:
# run: >
# r:latest analysis/investigate_consultation_codes.R
# needs: [generate_consultation_dataset_2020-04-01_to_2021-03-31]
# outputs:
# moderately_sensitive:
# measure_csv: output/data/summary_consultation_codes.csv
# visualise_consultation_datasets:
# run: >
# r:latest analysis/visualise_consultation_dataset.R
# needs: [generate_consultation_measures]
# outputs:
# moderately_sensitive:
# figure_pre2019: output/figures/figure_pre2019_consultation_measure_by_age.png
# figure_during2020: output/figures/figure_during2020_consultation_measure_by_age.png
# figure_during2021: output/figures/figure_during2021_consultation_measure_by_age.png
Timeline
-
Created:
-
Started:
-
Finished:
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Runtime: 00:51:54
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- digital-access-to-primary-care
- Requested by
- Abodunrin Aminu
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- c958a79
- Requested actions
-
-
binary_regression_01
-
Code comparison
Compare the code used in this job request