Job request: 4530
- Organisation:
- University of Manchester
- Workspace:
- covid-diabetes-outcomes
- ID:
- iqxy44x3u34bvg2v
This page shows the technical details of what happened when the authorised researcher Matthew Carr 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.
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 100000
actions:
generate_cohort:
run: cohortextractor:latest generate_cohort --study-definition study_definition_part1
outputs:
highly_sensitive:
cohort: output/input_part1.csv
data_cleaning:
run: stata-mp:latest analysis/010_cleaning.do
needs: [generate_cohort]
outputs:
highly_sensitive:
analysis_dataset: output/input_part1_clean.dta
matching_groups_1_and_2:
run: stata-mp:latest analysis/021_matching_groups_1_and_2.do
needs: [data_cleaning]
outputs:
highly_sensitive:
analysis_dataset: output/matched_groups_1_and_2.dta
matching_groups_1_and_3:
run: stata-mp:latest analysis/022_matching_groups_1_and_3.do
needs: [data_cleaning]
outputs:
highly_sensitive:
analysis_dataset: output/matched_groups_1_and_3.dta
matching_groups_1_2_and_3:
run: stata-mp:latest analysis/023_matching_groups_1_2_and_3.do
needs: [matching_groups_1_and_2, matching_groups_1_and_3]
outputs:
highly_sensitive:
analysis_dataset: output/matched_groups_1_2_and_3.dta
analyses_option1_table1:
run: stata-mp:latest analysis/110_analyses_option1_table1_demographics.do
needs: [data_cleaning]
outputs:
moderately_sensitive:
table1: output/results/option1_table1_demographics.dta
analyses_option1_table2:
run: stata-mp:latest analysis/120_analyses_option1_table2_rates.do
needs: [data_cleaning]
outputs:
moderately_sensitive:
table1: output/results/option1_table2_rates.dta
analyses_option1_table3:
run: stata-mp:latest analysis/130_analyses_option1_table3_hazardratios.do
needs: [data_cleaning]
outputs:
moderately_sensitive:
table1: output/results/option1_table3_hazardratios.dta
analyses_option1_table4:
run: stata-mp:latest analysis/140_analyses_option1_table4_stratified_rates.do
needs: [data_cleaning]
outputs:
moderately_sensitive:
table1: output/results/option1_table4_stratified_rates.dta
analyses_option1_table5:
run: stata-mp:latest analysis/150_analyses_option1_table5_stratified_hazardratios.do
needs: [data_cleaning]
outputs:
moderately_sensitive:
table1: output/results/option1_table5_stratified_hazardratios.dta
analyses_option2_table1a:
run: stata-mp:latest analysis/210_analyses_option2_table1a_demographics_groups_1_and_2.do
needs: [matching_groups_1_and_2]
outputs:
moderately_sensitive:
table1: output/results/option2_table1a_demographics_groups_1_and_2.dta
analyses_option2_table1b:
run: stata-mp:latest analysis/211_analyses_option2_table1b_demographics_groups_1_and_3.do
needs: [matching_groups_1_and_3]
outputs:
moderately_sensitive:
table1: output/results/option2_table1b_demographics_groups_1_and_3.dta
analyses_option3_table1:
run: stata-mp:latest analysis/310_analyses_option3_table1_demographics.do
needs: [matching_groups_1_2_and_3]
outputs:
moderately_sensitive:
table1: output/results/option3_table1_demographics.dta
redaction:
run: stata-mp:latest analysis/999_redaction.do
needs: [analyses_option1_table1, analyses_option1_table2, analyses_option1_table3, analyses_option1_table4, analyses_option1_table5, analyses_option2_table1a, analyses_option2_table1b, analyses_option3_table1]
outputs:
moderately_sensitive:
table1: output/results/option1_table1_demographics_redacted.dta
table2: output/results/option1_table1_demographics_redacted.csv
table3: output/results/option1_table2_rates_redacted.dta
table4: output/results/option1_table2_rates_redacted.csv
#table5: output/results/option1_table3_hazardratios_redacted.dta
#table6: output/results/option1_table3_hazardratios_redacted.csv
#table7: output/results/option1_table4_stratified_rates_redacted.dta
#table8: output/results/option1_table4_stratified_rates_redacted.csv
#table9: output/results/option1_table5_stratified_hazardratios_redacted.dta
#table10: output/results/option1_table5_stratified_hazardratios_redacted.csv
#table11: output/results/option2_table1a_demographics_groups_1_and_2_redacted.dta
#table12: output/results/option2_table1a_demographics_groups_1_and_2_redacted.csv
#table13: output/results/option2_table1b_demographics_groups_1_and_3_redacted.dta
#table14: output/results/option2_table1b_demographics_groups_1_and_3_redacted.csv
#table15: output/results/option3_table1_demographics_redacted.dta
#table16: output/results/option3_table1_demographics_redacted.csv
Timeline
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Created:
-
Started:
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Finished:
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Runtime:
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Failed
JobRequestError: analyses_option1_table3 failed on a previous run and must be re-run
- Backend
- TPP
- Workspace
- covid-diabetes-outcomes
- Requested by
- Matthew Carr
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- be15c43
- Requested actions
-
-
analyses_option2_table1a
-
analyses_option2_table1b
-
analyses_option3_table1
-
redaction
-
Code comparison
Compare the code used in this Job Request