Job request: 8293
- Organisation:
- Bennett Institute
- Workspace:
- mabs-main
- ID:
- bneaulnauyvnkkur
This page shows the technical details of what happened when the authorised researcher Millie Green 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:
-
iozm4ozu3l4r5rhk
Pipeline
Show project.yaml
################################################################################
#
# Description: This script defines the project pipeline - it specifys the
# execution orders for all the code in this repo using a series of
# actions.
#
# Author(s): M Green
# Date last updated: 15/02/2022
#
################################################################################
version: '3.0'
expectations:
population_size: 100000
actions:
# Extract data ----
extract_data:
run: cohortextractor:latest generate_cohort --study-definition study_definition --output-dir=output/data --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/data/input.csv.gz
extract_stp_data:
run: cohortextractor:latest generate_cohort --study-definition study_definition_stp --output-dir=output/data --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/data/input_stp.csv.gz
# Data processing ----
data_process:
run: r:latest analysis/process/process_data.R
needs: [extract_data]
outputs:
highly_sensitive:
data: output/data/data_processed*.rds
# Data summaries ----
data_properties:
run: r:latest analysis/descriptive/data_properties.R output/data/data_processed.rds output/data_properties
needs: [data_process]
outputs:
moderately_sensitive:
cohort: output/data_properties/data_processed*.txt
# Sensitivity anslysis ----
sa_symptomatic_test:
run: r:latest -e 'rmarkdown::render("analysis/descriptive/sa_symptomatic_test.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output/coverage")'
needs: [data_process]
outputs:
moderately_sensitive:
html: output/coverage/sa_symptomatic_test.html
# Report ----
report_data:
run: r:latest analysis/descriptive/coverage_report_data.R
needs: [data_process]
outputs:
moderately_sensitive:
redacted_tables: output/coverage/table_*.csv
unredacted_tables: output/coverage/for-checks/table_*.csv
# Variation by STP ----
stp_report:
run: r:latest -e 'rmarkdown::render("analysis/descriptive/mabs-and-abs-by-stp.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output/variation")'
needs: [data_process, extract_stp_data]
outputs:
moderately_sensitive:
html: output/variation/mabs-and-abs-by-stp.html
figures: output/variation/figure_*.csv
csvs: output/variation/table_*.csv
# Obs vs exp ----
obs_vs_exp_report:
run: r:latest -e 'rmarkdown::render("analysis/descriptive/obs-vs-exp.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output/variation")'
needs: [data_process]
outputs:
moderately_sensitive:
html: output/variation/obs-vs-exp.html
# Crude count of outcomes ----
outcomes_report:
run: r:latest -e 'rmarkdown::render("analysis/descriptive/crude_outcomes.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output/effectiveness/counts")'
needs: [data_process]
outputs:
moderately_sensitive:
html: output/effectiveness/counts/crude_outcomes.html
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:01:30
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Code comparison
Compare the code used in this Job Request