Job request: 25005
- Organisation:
- Bennett Institute
- Workspace:
- pifu-data-exploration
- ID:
- ogpzgy7vqs5zknjs
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
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- Job identifier:
-
6vmx3hzipveihcdb
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- Job identifier:
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xpk4vuy5pods5cem
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- Job identifier:
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7nf2p2ggf47todlu
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- Job identifier:
-
3yqdx7y7nlwr57mn
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- Job identifier:
-
uj4tjkshi5fjq3qg
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- Job identifier:
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at4mahggcpzmdoxb
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- Job identifier:
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5tt6jf5k4xxi5mbv
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- Job identifier:
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eyvjv4ukkzs2oega
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- Job identifier:
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4kugbslevj77txel
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- Job identifier:
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i3gcnmd55vm7e3tn
Pipeline
Show project.yaml
version: '4.0'
actions:
generate_dataset_explore:
run: ehrql:v1 generate-dataset analysis/dataset_definition_explore.py --output output/dataset_explore.csv.gz
outputs:
highly_sensitive:
dataset: output/dataset_explore.csv.gz
table_explore:
run: r:latest analysis/process/data_exploration.R
needs: [generate_dataset_explore]
outputs:
moderately_sensitive:
table1: output/processed/table_explore.csv
#table2: output/processed/table_pfu_explore.csv
table3: output/processed/counts_explore.csv
generate_dataset:
run: ehrql:v1 generate-dataset analysis/dataset_definition_everyone.py --output output/dataset_everyone.csv.gz
outputs:
highly_sensitive:
dataset: output/dataset_everyone.csv.gz
generate_dataset_rheum:
run: ehrql:v1 generate-dataset analysis/dataset_definition_rheum.py --output output/dataset_rheum.csv.gz
outputs:
highly_sensitive:
dataset: output/dataset_rheum.csv.gz
measures:
run: ehrql:v1 generate-measures analysis/measures.py --output output/measures/measures.csv
outputs:
moderately_sensitive:
dataset: output/measures/measures.csv
measures_london:
run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_london.csv
--
--param_region London
outputs:
moderately_sensitive:
dataset: output/measures/measures_london.csv
measures_northeast:
run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_northeast.csv
--
--param_region 'North East'
outputs:
moderately_sensitive:
dataset: output/measures/measures_northeast.csv
measures_northwest:
run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_northwest.csv
--
--param_region 'North West'
outputs:
moderately_sensitive:
dataset: output/measures/measures_northwest.csv
measures_yorkshire:
run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_yorkshire.csv
--
--param_region 'Yorkshire and The Humber'
outputs:
moderately_sensitive:
dataset: output/measures/measures_yorkshire.csv
measures_eastmidlands:
run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_eastmidlands.csv
--
--param_region 'East Midlands'
outputs:
moderately_sensitive:
dataset: output/measures/measures_eastmidlands.csv
measures_westmidlands:
run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_westmidlands.csv
--
--param_region 'West Midlands'
outputs:
moderately_sensitive:
dataset: output/measures/measures_westmidlands.csv
measures_east:
run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_east.csv
--
--param_region East
outputs:
moderately_sensitive:
dataset: output/measures/measures_east.csv
measures_southeast:
run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_southeast.csv
--
--param_region 'South East'
outputs:
moderately_sensitive:
dataset: output/measures/measures_southeast.csv
measures_southwest:
run: ehrql:v1 generate-measures analysis/measures_region.py --output output/measures/measures_southwest.csv
--
--param_region 'South West'
outputs:
moderately_sensitive:
dataset: output/measures/measures_southwest.csv
table:
run: r:latest analysis/process/pop_characteristics.R
needs: [generate_dataset, generate_dataset_rheum]
outputs:
moderately_sensitive:
table1: output/processed/table.csv
table2: output/processed/table_pfu.csv
table3: output/processed/table_rheum.csv
time_series:
run: r:latest analysis/process/measures_process.R
needs: [measures]
outputs:
moderately_sensitive:
timeseries1: output/processed/time_series_overall.csv
timeseries2: output/processed/time_series_specialty.csv
time_series_region:
run: r:latest analysis/process/measures_region_process.R
needs: [measures_london, measures_east, measures_eastmidlands, measures_northeast, measures_northwest, measures_southeast, measures_southwest, measures_westmidlands, measures_yorkshire]
outputs:
moderately_sensitive:
timeseries1: output/processed/ts_*.csv
timeseries2: output/processed/ts_sp*.csv
visits:
run: r:latest analysis/process/visit_stats.R
needs: [generate_dataset_rheum]
outputs:
moderately_sensitive:
table: output/processed/visit_stats.csv
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 88:45:47
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- pifu-data-exploration
- Requested by
- Andrea Schaffer
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 369d96f
- Requested actions
-
-
measures_london
-
measures_northeast
-
measures_northwest
-
measures_yorkshire
-
measures_eastmidlands
-
measures_westmidlands
-
measures_east
-
measures_southeast
-
measures_southwest
-
time_series_region
-
Code comparison
Compare the code used in this Job Request