Job request: 1018
- Organisation:
- Bennett Institute
- Workspace:
- long-covid-descriptive
- ID:
- qja44zuryourfggr
This page shows the technical details of what happened when the authorised researcher Alex Walker 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:
-
vpxb6mwentxtrjnt
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 500
actions:
generate_measure_cohort_1:
# week 45 2020 to 20 2020 inclusive
run: cohortextractor:latest generate_cohort --study-definition study_definition_measure --index-date-range "2020-11-02 to 2020-12-27 by week"
outputs:
highly_sensitive:
cohort: output/input_*.csv
generate_measure_cohort_2:
# week 51 2020 to 03 2021 inclusive
run: cohortextractor:latest generate_cohort --study-definition study_definition_measure --index-date-range "2020-12-28 to 2021-02-21 by week"
outputs:
highly_sensitive:
cohort: output/input*.csv
calculate_measures:
run: cohortextractor:latest generate_measures --study-definition study_definition_measure
needs: [generate_measure_cohort_1, generate_measure_cohort_2]
outputs:
moderately_sensitive:
measure: output/measure_*_rate.csv
standardise_and_plot:
run: python:latest python analysis/time_series_plots.py
needs: [calculate_measures]
outputs:
moderately_sensitive:
tables: output/*_rate.csv
graph: output/time_series_plot.svg
generate_cohort:
run: cohortextractor:latest generate_cohort --study-definition study_definition_cohort
outputs:
highly_sensitive:
cohort: output/input_cohort.csv
count_by_strata:
run: python:latest python analysis/all_time_counts.py
needs: [generate_cohort]
outputs:
moderately_sensitive:
tables: output/counts_table*.csv
# practice_summ: output/practice_summ.csv
Timeline
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Created:
-
Started:
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Finished:
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Runtime: 00:03:05
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- long-covid-descriptive
- Requested by
- Alex Walker
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 2cfcfe3
- Requested actions
-
-
count_by_strata
-
Code comparison
Compare the code used in this job request