This page shows the technical details of what happened when authorised researcher Louise Lansbury requested one or more actions to be run against real patient data in the project, within a secure environment.
By cross-referencing the indicated Requested Actions with the
Pipeline section below, you can infer what
security level
various outputs were written to. Outputs marked as
highly_sensitive
can never be viewed directly by a researcher; 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:
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6jqntkhxjrfz4vho
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- Job identifier:
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l4kntkvvmcbceop7
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 10000
actions:
generate_study_population:
run: cohortextractor:latest generate_cohort --study-definition study_definition
outputs:
highly_sensitive:
cohort: output/input.csv
run_model:
run: stata-mp:latest analysis/00a_cr_create_analysis_dataset.do
needs: [generate_study_population]
outputs:
moderately_sensitive:
log: logs/00a_cr_create_analysis_dataset.txt
Timeline
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Created:
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Started:
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Finished:
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Runtime:
These timestamps are generated and stored using the UTC timezone on the backend.