Job request: 14101
- Organisation:
- University of Liverpool
- Workspace:
- flucats
- ID:
- ob22ttwjjpyhxekm
This page shows the technical details of what happened when the authorised researcher Louis Fisher 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:
-
vndtq73y5dqciftw
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
# this looks for whether each flucats var is ever recorded for each patient as of 2021-01-01
generate_study_population_test:
run: cohortextractor:latest generate_cohort --study-definition study_definition_test --output-format=csv.gz --with-end-date-fix
outputs:
highly_sensitive:
cohort: output/input_test.csv.gz
# this looks for whether each flucats var is recorded within a week of template code for each patient as of 2021-01-01
generate_study_population_long_window:
run: cohortextractor:latest generate_cohort --study-definition study_definition_long_window --output-format=csv.gz --with-end-date-fix
outputs:
highly_sensitive:
cohort: output/input_long_window.csv.gz
generate_study_population_1:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-03-01 to 2020-07-01 by month" --output-format=csv.gz --with-end-date-fix
outputs:
highly_sensitive:
cohort: output/input_*.csv.gz
generate_study_population_2:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-08-01 to 2021-01-01 by month" --output-format=csv.gz --with-end-date-fix
outputs:
highly_sensitive:
cohort: output/input*.csv.gz
generate_study_population_3:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-02-01 to 2021-03-01 by month" --output-format=csv.gz --with-end-date-fix
outputs:
highly_sensitive:
cohort: output/inpu*.csv.gz
#Gives until 2021-07-01. Only have ONS deaths until 2021-07-01
generate_study_population_4:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-04-01 to 2021-06-01 by month" --output-format=csv.gz --with-end-date-fix
outputs:
highly_sensitive:
cohort: output/inp*.csv.gz
generate_study_population_end:
run: cohortextractor:latest generate_cohort --study-definition study_definition_end --output-format=csv.gz --with-end-date-fix
outputs:
highly_sensitive:
cohort: output/input_end.csv.gz
join_cohorts_monthly:
run: >
cohort-joiner:v0.0.44
--lhs output/input_20*.csv.gz
--rhs output/input_end.csv.gz
--output-dir output/joined
needs: [
generate_study_population_1,
generate_study_population_2,
generate_study_population_3,
generate_study_population_4,
generate_study_population_end]
outputs:
highly_sensitive:
cohort: output/joined/input_20*.csv.gz
generate_dataset_report:
run: >
dataset-report:v0.0.24
--input-files output/joined/input_2021-06-01.csv.gz
--output-dir output
needs: [join_cohorts_monthly]
outputs:
moderately_sensitive:
dataset_report: output/input_2021-06-01.html
combined_input_files:
run: python:latest python analysis/combine_input_files.py
needs: [join_cohorts_monthly]
outputs:
highly_sensitive:
attrition: output/joined/input_all_py.csv.gz
column_counts:
run: python:latest python analysis/test_column_counts.py
needs: [generate_study_population_test, combined_input_files, generate_study_population_2]
outputs:
moderately_sensitive:
counts: output/column_counts/combine*.csv
generate_first_outputs:
run: r:latest analysis/flucats_descriptive_basic.R
needs: [combined_input_files]
outputs:
moderately_sensitive:
attrition: output/attrition.csv
histogram_age: output/age_hist.png
date_plot: output/weekly_template.png
flucat_tables: output/flucat*.csv
sex_table: output/sex_table.csv
region_table: output/region_table.csv
compare_short_long_window:
run: python:latest python analysis/compare_short_long_window.py
needs: [generate_study_population_2, generate_study_population_long_window]
outputs:
moderately_sensitive:
counts: output/compare_short_long_window.csv
# check_codes:
# run: r:latest analysis/check_codes.R
# needs: [generate_study_population_2]
# outputs:
# moderately_sensitive:
# text: output/text.txt
Timeline
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Created:
-
Started:
-
Finished:
-
Runtime: 04:44:48
These timestamps are generated and stored using the UTC timezone on the EMIS backend.
Code comparison
Compare the code used in this Job Request