Job request: 12479
- Organisation:
- The London School of Hygiene & Tropical Medicine
- Workspace:
- bias
- ID:
- gsag7kienndn2haf
This page shows the technical details of what happened when the authorised researcher Emily Herrett 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:
-
ddvk2awfw44s2liu
-
- Job identifier:
-
5izywvas36na2wpa
-
- Job identifier:
-
om6kp3ffv76buceg
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 100000
actions:
generate_study_population:
run: cohortextractor:latest generate_cohort --study-definition study_definition --output-format=csv
outputs:
highly_sensitive:
cohort: output/input.csv
# Generate objective 1a dataset
create_dataset_1a:
run: stata-mp:latest analysis/cr_dataset_1a.do
needs: [generate_study_population]
outputs:
highly_sensitive:
output: output/cr_dataset_1a.csv
# Generate objective 1a table
create_table_1a:
run: stata-mp:latest analysis/tabulate_1a.do
needs: [generate_study_population, create_dataset_1a]
outputs:
moderately_sensitive:
output: output/tables/an_table_PublicationDescriptivesTable_1a.csv
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 03:17:37
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Code comparison
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