Job request: 12143
- Organisation:
- Bennett Institute
- Workspace:
- test-age-distribution
- ID:
- 2pn44vc226lneljc
This page shows the technical details of what happened when the authorised researcher Chris Yeung 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:
-
dl22opedn2lbftop
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: 00:00:33
These timestamps are generated and stored using the UTC timezone on the GRAPHNET-TEST backend.
Job information
- Status
-
Failed
- Backend
- GRAPHNET-TEST
- Workspace
- test-age-distribution
- Requested by
- Chris Yeung
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- af04fcf
- Requested actions
-
-
generate_dataset
-
Code comparison
Compare the code used in this Job Request
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