Job request: 11872
- Organisation:
- Bennett Institute
- Workspace:
- test-age-distribution
- ID:
- hbeqlysdt2jmuvhg
This page shows the technical details of what happened when the authorised researcher Ben Butler-Cole 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:
-
jgmqrygi2kq5la2x
-
- Job identifier:
-
rhfjhrontjkpgokn
Pipeline
Show project.yaml
version: "3.0"
expectations:
population_size: 1000
actions:
generate_dataset:
run: >
databuilder:v0.48.0
generate-dataset
--output output/dataset.csv
--dummy-data-file dummy_output/dataset.csv
analysis/dataset_definition.py
outputs:
highly_sensitive:
dataset: output/dataset.csv
count_by_age:
run: >
python:latest
python analysis/count_by_age.py
needs: [generate_dataset]
outputs:
moderately_sensitive:
count: output/count_by_age.csv
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:01:45
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- test-age-distribution
- Requested by
- Ben Butler-Cole
- Branch
- main
- Force run dependencies
- Yes
- Git commit hash
- af04fcf
- Requested actions
-
-
run_all
-
Code comparison
Compare the code used in this Job Request