Job request: 4523
- Organisation:
- University of Manchester
- Workspace:
- covid-diabetes-outcomes
- ID:
- 2uyjmvdu53zmzso2
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 within a secure environment.
By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.
The output security levels are:
-
highly_sensitive
- Researchers can never directly view these outputs
- Researchers can only request code is run against them
-
moderately_sensitive
- Can be viewed by an approved researcher by logging into a highly secure environment
- These are the only outputs that can be requested for public release via a controlled output review service.
Jobs
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- Job identifier:
-
dedhnsjvpzffbck2
-
- Job identifier:
-
wtkazzhrdt675loz
-
- Job identifier:
-
gze2sbkuxkkoudam
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- Job identifier:
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6bgkca34obovw6tc
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- Job identifier:
-
6dmkubekdeflarqa
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: 02:34:25
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- covid-diabetes-outcomes
- Requested by
- Matthew Carr
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 6bbf83a
- Requested actions
-
-
matching_groups_1_and_2 -
matching_groups_1_and_3 -
matching_groups_1_2_and_3 -
analyses_option1_table1 -
analyses_option1_table2
-
Code comparison
Compare the code used in this job request