Job request: 980
- Organisation:
- Bennett Institute
- Workspace:
- covid-vaccineeffectiveness-research_doses
- ID:
- vpwwjfdros6h2jv5
This page shows the technical details of what happened when the authorised researcher Will Hulme 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:
-
bnlps24hycedis25
-
- Job identifier:
-
crn5blplimxshrmo
-
- Job identifier:
-
tlg772imgtsgwf54
-
- Job identifier:
-
ylfhxghkg3wnimqw
-
- Job identifier:
-
dihjechc5q2ne3wu
-
- Job identifier:
-
ohi5rvjfucvfnbuo
-
- Job identifier:
-
qfj7im5ce6fyaut3
-
- Job identifier:
-
c3trcskbjyympoqv
-
- Job identifier:
-
hegkeoxmbv2stxsp
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 100000
actions:
# generate_notebook:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/population_characteristics.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400
#
# needs: [generate_delivery_cohort]
# outputs:
# moderately_sensitive:
# notebook: output/population_characteristics.html
get_packages:
run: r:latest analysis/R/export_package_names.R
outputs:
moderately_sensitive:
cohort: output/available_packages.csv
## Descriptive info on vaccinated patients
extract_vaccinated:
run: cohortextractor:latest generate_cohort --study-definition study_definition_vaccinated
outputs:
highly_sensitive:
cohort: output/input_vaccinated.csv
data_process_vaccinated:
run: r:latest analysis/R/data_process_vaccinated.R
needs: [extract_vaccinated]
outputs:
highly_sensitive:
cohort: output/data/data_vaccinated.rds
vaxdates: output/data/data_vaccinated_vax_dates.rds
data_properties_vaccinated:
run: r:latest analysis/R/data_properties.R output/data/data_vaccinated.rds output/data_properties
needs: [data_process_vaccinated]
outputs:
moderately_sensitive:
summary: output/data_properties/data_vaccinated*.txt
data_summarise_vaccinated:
run: r:latest analysis/R/data_summarise.R
needs: [data_process_vaccinated]
outputs:
moderately_sensitive:
summary1: output/variable_summary/categorical.txt
summary2: output/variable_summary/numeric.txt
summary3: output/variable_summary/date.txt
summarytables: output/variable_summary/tables/categorical_*.csv
summarystats: output/summary_stats.json
vaccine_tables:
run: r:latest analysis/R/vaccine_type.R
needs: [data_process_vaccinated]
outputs:
moderately_sensitive:
tables: output/vaccine_type/tables/vaccine_type_*.csv
tte_tables:
run: r:latest analysis/R/tte_tables.R
needs: [data_process_vaccinated]
outputs:
moderately_sensitive:
tables: output/tte/tables/event_rates_*.csv
tte_plots:
run: r:latest analysis/R/tte_plots.R
needs: [data_process_vaccinated]
outputs:
moderately_sensitive:
plots: output/tte/figures/plot_*.svg
# data for whole cohort
extract_all:
run: cohortextractor:latest generate_cohort --study-definition study_definition_all
outputs:
highly_sensitive:
cohort: output/input_all.csv
data_process_all:
run: r:latest analysis/R/data_process_all.R
needs: [extract_all]
outputs:
highly_sensitive:
data1: output/data/data_all.rds
data2: output/data/data_long_vax_dates.rds
data3: output/data/data_long_admission_dates.rds
data_properties_all:
run: r:latest analysis/R/data_properties.R output/data/data_all.rds output/data_properties
needs: [data_process_all]
outputs:
moderately_sensitive:
datasummary: output/data_properties/data_all*.txt
## VE models in over 80s
data_cohorts:
run: r:latest analysis/R/data_define_cohorts.R
needs: [data_process_all]
outputs:
highly_sensitive:
data: output/modeldata/data_cohorts.rds
moderately_sensitive:
metadata: output/modeldata/metadata_cohorts.rds
data_stset_over80s:
run: r:latest analysis/R/data_stset.R over80s
needs: [data_cohorts, data_process_all]
outputs:
highly_sensitive:
data: output/modeldata/data_*over80s.rds
data_properties_over80s:
run: r:latest analysis/R/data_properties.R output/modeldata/data_wide_over80s.rds output/data_properties
needs: [data_stset_over80s]
outputs:
moderately_sensitive:
datasummary: output/data_properties/data_wide_over80s*.txt
summary_postests_over80s:
run: r:latest analysis/R/plot_outcomes_per_day.R over80s
needs: [data_cohorts, data_stset_over80s]
outputs:
moderately_sensitive:
datasummary: output/models/msm/over80s/positive_test*.svg
models_msm_over80s:
run: r:latest analysis/R/models_msms.R over80s
needs: [data_cohorts, data_stset_over80s]
outputs:
highly_sensitive:
models: output/models/msm/over80s/model*.rds
data: output/models/msm/over80s/data_weights.rds
moderately_sensitive:
weights: output/models/msm/over80s/weights.txt
reportmodels_msm_over80s:
run: r:latest analysis/R/reportmodels_msms.R over80s
needs: [data_cohorts, models_msm_over80s]
outputs:
moderately_sensitive:
forest: output/models/msm/over80s/forest*.svg
trend: output/models/msm/over80s/secular_trends*.svg
eventrate: output/models/msm/over80s/event_rate.svg
tables: output/models/msm/over80s/*.csv
# data_stset_under65s:
# run: r:latest analysis/R/data_stset.R under65s
# needs: [data_cohorts, data_process_all]
# outputs:
# highly_sensitive:
# data: output/modeldata/data_*under65s.rds
#
# data_properties_under65s:
# run: r:latest analysis/R/data_properties.R output/modeldata/data_wide_under65s.rds output/data_properties
# needs: [data_stset_under65s]
# outputs:
# moderately_sensitive:
# datasummary: output/data_properties/data_wide_under65s*.txt
#
# models_msm_under65s:
# run: r:latest analysis/R/models_msms.R under65s
# needs: [data_cohorts, data_stset_under65s]
# outputs:
# moderately_sensitive:
# weights: output/models/msm/under65s/weights.txt
# forest: output/models/msm/under65s/forest*.svg
# trend: output/models/msm/under65s/secular_trends*.svg
# tables: output/models/msm/under65s/*.csv
# models_cox_over80s:
# run: r:latest analysis/R/models_cox_over80s.R
# needs: [data_stset_over80s]
# outputs:
# moderately_sensitive:
# zph: output/models/cox/over80s/zph*.png
# forest: output/models/cox/over80s/forest*.svg
# tables: output/models/cox/over80s/*.csv
# run_ve:
# run: cohortextractor:latest --version
# needs: [extract_all, data_process_all, data_properties_all, data_tte_over80s, models_cox_over80s]
# outputs:
# moderately_sensitive:
# whatever: output/.gitignore
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 11:00:54
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Failed
- Backend
- TPP
- Requested by
- Will Hulme
- Branch
- doses
- Force run dependencies
- No
- Git commit hash
- b65a1c8
- Requested actions
-
-
extract_all
-
data_process_all
-
data_properties_all
-
data_cohorts
-
data_stset_over80s
-
data_properties_over80s
-
summary_postests_over80s
-
models_msm_over80s
-
reportmodels_msm_over80s
-
Code comparison
Compare the code used in this Job Request