Job request: 1252
- Organisation:
- Bennett Institute
- Workspace:
- long-covid-emis
- ID:
- r3esk5ua6tum432t
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 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:
-
5hfvbtekea77wcqg
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 2021-01-03 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 "2021-01-04 to 2021-03-07 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:
highly_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:
table: output/counts_table.csv
code_table: output/first_long_covid_code.csv
code_table2: output/all_long_covid_codes.csv
practice_summ: output/practice_summ.txt
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:02:40
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- long-covid-emis
- Requested by
- Alex Walker
- Branch
- EMIS
- Force run dependencies
- No
- Git commit hash
- 9ca7a78
- Requested actions
-
-
count_by_strata
-
Code comparison
Compare the code used in this Job Request