Job request: 6811
- Organisation:
- University of Manchester
- Workspace:
- cc_3
- ID:
- oscvlkxs3vh2pagf
This page shows the technical details of what happened when the authorised researcher Ya-Ting Yang 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:
-
s2zvhjzfn5yo2et7
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_study_population_covid_admission:
run: cohortextractor:latest generate_cohort --study-definition study_definition_covid_admission
outputs:
highly_sensitive:
cohort: output/input_covid_admission.csv
process_1:
run: r:latest analysis/process_1.R
needs: [generate_study_population_covid_admission]
outputs:
highly_sensitive:
case: output/case_covid_icu_death.csv
case2: output/case_covid_icu_death_2.csv
control: output/control_covid_hosp.csv
control2: output/control_covid_hosp_2.csv
# R MatchIt
matching: # matching with replacement
run: r:latest -e 'rmarkdown::render("analysis/matching.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
needs: [process_1]
outputs:
moderately_sensitive:
html: output/matching.html
highly_sensitive:
rds1: output/matched_patients.rds
rds2: output/unmatched_patients.rds
csv: output/matched_patients_id.csv
matching2: # matching with replacement
run: r:latest -e 'rmarkdown::render("analysis/matching2.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
needs: [process_1]
outputs:
moderately_sensitive:
html: output/matching2.html
highly_sensitive:
rds1: output/matched_patients_2.rds
rds2: output/unmatched_patients_2.rds
csv: output/matched_patients_id_2.csv
check_matching:
run: r:latest -e 'rmarkdown::render("analysis/check_matching.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
needs: [matching]
outputs:
moderately_sensitive:
html: output/check_matching.html
check_matching2:
run: r:latest -e 'rmarkdown::render("analysis/check_matching2.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
needs: [matching2]
outputs:
moderately_sensitive:
html: output/check_matching2.html
extract_variables:
run: cohortextractor:latest generate_cohort --study-definition study_definition_outcome
needs: [matching]
outputs:
highly_sensitive:
cohort: output/input_outcome.csv
extract_variables2:
run: cohortextractor:latest generate_cohort --study-definition study_definition_outcome2
needs: [matching2]
outputs:
highly_sensitive:
cohort: output/input_outcome2.csv
process_Rmatching: # add variables
run: r:latest analysis/process_Rmatching.R
needs: [extract_variables,matching]
outputs:
highly_sensitive:
cohort1: output/matched_outcome.rds
process_Rmatching2: # add variables
run: r:latest analysis/process_Rmatching2.R
needs: [extract_variables2,matching2]
outputs:
highly_sensitive:
cohort1: output/matched_outcome2.rds
check_input: #
run: r:latest -e 'rmarkdown::render("analysis/check_input.Rmd", knit_root_dir = "/workspace", output_dir = "output")'
needs: [process_Rmatching2,extract_variables2,matching2,process_Rmatching,extract_variables,matching,process_1, generate_study_population_covid_admission]
outputs:
moderately_sensitive:
html: output/check_input.html
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:54:17
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Code comparison
Compare the code used in this Job Request