Job request: 17862
- Organisation:
- The London School of Hygiene & Tropical Medicine
- Workspace:
- openprompt-hrqol
- ID:
- s4syw27xvwxhel3c
This page shows the technical details of what happened when the authorised researcher Oliver Carlile 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:
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gjeqlsuqga3fde7v
-
- Job identifier:
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x7tgfcwvorfpbhat
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- Job identifier:
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mszhbf6p2eyjvxeg
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- Job identifier:
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ktgurxqv5uhsfuod
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- Job identifier:
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qlhbjx4pqkml5vtf
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- Job identifier:
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hqxqbhwj7jnhpb2a
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 10000
actions:
# create_dummy_openprompt_data:
# run: >
# r:latest
# analysis/create_dummy_openprompt_data.R
# outputs:
# moderately_sensitive:
# dummy_openprompt: output/dummy_openprompt.csv.gz
generate_openprompt_baseline:
run: >
databuilder:v0
generate-dataset analysis/define_openprompt_baseline.py --output output/openprompt_baseline.csv.gz
outputs:
highly_sensitive:
openprompt_baseline: output/openprompt_baseline.csv.gz
generate_openprompt_survey1:
run: >
databuilder:v0
generate-dataset analysis/define_openprompt_survey1.py --output output/openprompt_survey1.csv.gz
outputs:
highly_sensitive:
openprompt_tpp_combined: output/openprompt_survey1.csv.gz
generate_openprompt_survey2:
run: >
databuilder:v0
generate-dataset analysis/define_openprompt_survey2.py --output output/openprompt_survey2.csv.gz
outputs:
highly_sensitive:
openprompt_tpp_combined: output/openprompt_survey2.csv.gz
generate_openprompt_survey3:
run: >
databuilder:v0
generate-dataset analysis/define_openprompt_survey3.py --output output/openprompt_survey3.csv.gz
outputs:
highly_sensitive:
openprompt_tpp_combined: output/openprompt_survey3.csv.gz
generate_openprompt_survey4:
run: >
databuilder:v0
generate-dataset analysis/define_openprompt_survey4.py --output output/openprompt_survey4.csv.gz
outputs:
highly_sensitive:
openprompt_tpp_combined: output/openprompt_survey4.csv.gz
combine_openprompt:
run: >
r:latest analysis/001_datacombine.R
needs: [generate_openprompt_baseline, generate_openprompt_survey1, generate_openprompt_survey2, generate_openprompt_survey3, generate_openprompt_survey4]
outputs:
highly_sensitive:
openprompt_combined: output/openprompt_raw.gz.parquet
moderately_sensitive:
openprompt_summ_skim: output/data_properties/op_raw_skim.txt
openprompt_summ_tab: output/data_properties/op_raw_tabulate.txt
table1: output/tab1_baseline_description.html
# generate_openprompt_plus_tpp:
# run: >
# databuilder:v0
# generate-dataset analysis/dataset_definition_openprompt.py --output output/openprompt_raw_plus_tpp.csv.gz
# needs: [create_dummy_openprompt_data]
# outputs:
# highly_sensitive:
# openprompt_tpp_combined: output/openprompt_raw_plus_tpp.csv.gz
# quick_summ_data:
# run: >
# r:latest
# analysis/010_table1.R
# needs: [generate_openprompt_plus_tpp]
# outputs:
# highly_sensitive:
# cleandata: output/cleaned_data.gz.parquet
# moderately_sensitive:
# table1: output/tab1_baseline_description.html
# longcovid_dates: output/longcovid_dates.pdf
Timeline
-
Created:
-
Started:
-
Finished:
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Runtime: 00:37:27
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- openprompt-hrqol
- Requested by
- Oliver Carlile
- Branch
- main
- Force run dependencies
- Yes
- Git commit hash
- a7499e6
- Requested actions
-
-
run_all
-
Code comparison
Compare the code used in this job request