Job request: 14205
- Organisation:
- Bennett Institute
- Workspace:
- opioids-covid-research
- ID:
- 2hommjj7iisbngeu
This page shows the technical details of what happened when the authorised researcher Andrea Schaffer 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:
-
isjff7lg6ewari6h
-
- Job identifier:
-
4sdtxkqgvh2zlcot
-
- Job identifier:
-
p6xdkf4ip3j5sxv5
Pipeline
Show project.yaml
######################################
# This script defines the project pipeline - it specifies the execution orders for all the code in this
# repo using a series of actions.
######################################
version: '3.0'
expectations:
population_size: 10000
actions:
# Extract data ----
## Cohort data
generate_study_population_1:
run: cohortextractor:latest generate_cohort
--study-definition study_definition
--index-date-range "2018-01-01 to 2018-12-01 by month"
--output-dir=output
--output-format=csv
outputs:
highly_sensitive:
cohort: output/input_*.csv
generate_study_population_2:
run: cohortextractor:latest generate_cohort
--study-definition study_definition
--index-date-range "2019-01-01 to 2019-12-01 by month"
--output-dir=output
--output-format=csv
outputs:
highly_sensitive:
cohort: output/input*.csv
generate_study_population_3:
run: cohortextractor:latest generate_cohort
--study-definition study_definition
--index-date-range "2020-01-01 to 2020-12-01 by month"
--output-dir=output
--output-format=csv
outputs:
highly_sensitive:
cohort: output/inpu*.csv
generate_study_population_4:
run: cohortextractor:latest generate_cohort
--study-definition study_definition
--index-date-range "2021-01-01 to 2021-12-01 by month"
--output-dir=output
--output-format=csv
outputs:
highly_sensitive:
cohort: output/inp*.csv
generate_study_population_5:
run: cohortextractor:latest generate_cohort
--study-definition study_definition
--index-date-range "2022-01-01 to 2022-03-01 by month"
--output-dir=output
--output-format=csv
outputs:
highly_sensitive:
cohort: output/in*.csv
## Ethnicity
generate_ethnicity_cohort:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_ethnicity
outputs:
highly_sensitive:
cohort: output/input_ethnicity.csv
# Data processing ----
## Add ethnicity
join_cohorts:
run: >
cohort-joiner:v0.0.48
--lhs output/input_*.csv
--rhs output/input_ethnicity.csv
--output-dir output/data
needs: [generate_study_population_1, generate_study_population_2,
generate_study_population_5, generate_study_population_3, generate_study_population_4,
generate_ethnicity_cohort]
outputs:
highly_sensitive:
cohort: output/data/input_*.csv
## Generate measures
generate_measures:
run: >
cohortextractor:latest generate_measures
--study-definition study_definition
--output-dir output/data
needs: [join_cohorts]
outputs:
moderately_sensitive:
measure_csv: output/data/measure_*.csv
## Process data - time series
process_data_ts:
run: r:latest analysis/process/process_data_ts.R
needs: [generate_measures, join_cohorts]
outputs:
moderately_sensitive:
measure_csv: output/joined/final_*.csv
## Process data - table
process_data_table:
run: r:latest analysis/process/process_data_table.R
needs: [generate_measures, join_cohorts]
outputs:
moderately_sensitive:
measure_csv: output/joined/final*.csv
# Results ---
## Time series
timeseries:
run: r:latest analysis/descriptive/time_series_stand.R
needs: [process_data_ts]
outputs:
moderately_sensitive:
table: output/time series/ts_*.csv
## Time series graphs
# graphs:
# run: r:latest analysis/descriptive/graphs.R
# needs: [timeseries]
# outputs:
# moderately_sensitive:
# plot: output/time series/graphs/graph*.png
## Table
table:
run: r:latest analysis/descriptive/table_stand.R
needs: [process_data_table]
outputs:
moderately_sensitive:
table: output/tables/table_*.csv
##################### TESTING ########################
generate_study_population_test:
run: cohortextractor:latest generate_cohort
--study-definition study_definition_test
--index-date-range "2020-01-01 to 2022-03-01 by month"
--output-dir=output
--output-format=csv
outputs:
highly_sensitive:
cohort: output/i*.csv
## Add ethnicity
join_cohorts_test:
run: >
cohort-joiner:v0.0.48
--lhs output/i*.csv
--rhs output/input_ethnicity.csv
--output-dir output/data
needs: [generate_study_population_test, generate_ethnicity_cohort]
outputs:
highly_sensitive:
cohort: output/data/input*.csv
## Generate measures
generate_measures_test:
run: >
cohortextractor:latest generate_measures
--study-definition study_definition_test
--output-dir output/data
needs: [join_cohorts_test]
outputs:
moderately_sensitive:
measure_csv: output/data/measure*.csv
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 04:54:46
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- opioids-covid-research
- Requested by
- Andrea Schaffer
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 831bd03
- Requested actions
-
-
generate_study_population_test
-
join_cohorts_test
-
generate_measures_test
-
Code comparison
Compare the code used in this Job Request