Job request: 21067
- Organisation:
- The London School of Hygiene & Tropical Medicine
- Workspace:
- openprompt-cohort-profile
- ID:
- 64oy4hntkuiyrt6r
This page shows the technical details of what happened when the authorised researcher Alasdair Henderson 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:
-
oujkn6pyv4mlavbs
-
- Job identifier:
-
nmljmfrdvrypz2bc
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
create_dummy_data:
run: >
ehrql:v0
create-dummy-tables
analysis/dataset_definition.py output/dummydata
--
--day=0
outputs:
highly_sensitive:
openprompt_dummy: output/dummydata/open_prompt.csv
edit_dummy_data:
run: >
r:latest
analysis/00_dummy_data_editing/edit_automatic_dummy_data.R
needs: [create_dummy_data]
outputs:
highly_sensitive:
openprompt_dummy_edited: output/dummydata/dummy_edited/open_prompt.csv
scrape_all_data:
run: >
ehrql:v0
generate-dataset
analysis/scrape_data_response_dates.py
--output output/openprompt_all.csv
--dummy-tables output/dummydata/dummy_edited
needs: [edit_dummy_data]
outputs:
highly_sensitive:
openprompt_all: output/openprompt_all.csv
generate_openprompt_survey1:
run: >
ehrql:v0
generate-dataset
analysis/dataset_definition.py
--output output/openprompt_survey1.csv
--dummy-tables output/dummydata/dummy_edited
--
--day=0
--window=5
needs: [edit_dummy_data]
outputs:
highly_sensitive:
openprompt_survey1: output/openprompt_survey1.csv
generate_openprompt_survey2:
run: >
ehrql:v0
generate-dataset
analysis/dataset_definition.py
--output output/openprompt_survey2.csv
--dummy-tables output/dummydata/dummy_edited
--
--day=30
--window=5
needs: [edit_dummy_data]
outputs:
highly_sensitive:
openprompt_survey2: output/openprompt_survey2.csv
generate_openprompt_survey3:
run: >
ehrql:v0
generate-dataset
analysis/dataset_definition.py
--output output/openprompt_survey3.csv
--dummy-tables output/dummydata/dummy_edited
--
--day=60
--window=5
needs: [edit_dummy_data]
outputs:
highly_sensitive:
openprompt_survey3: output/openprompt_survey3.csv
generate_openprompt_survey4:
run: >
ehrql:v0
generate-dataset
analysis/dataset_definition.py
--output output/openprompt_survey4.csv
--dummy-tables output/dummydata/dummy_edited
--
--day=90
--window=5
needs: [edit_dummy_data]
outputs:
highly_sensitive:
openprompt_survey4: output/openprompt_survey4.csv
extract_linked_tpp_info:
run: >
ehrql:v0
generate-dataset
analysis/add_tpp_data.py
--output output/openprompt_linked_tpp.csv.gz
outputs:
highly_sensitive:
linked_tpp_data: output/openprompt_linked_tpp.csv.gz
extract_tpp_demographics:
run: >
ehrql:v0
generate-dataset
analysis/extract_tpp_demographics.py
--output output/opensafely_tpp_demographics.csv.gz
outputs:
highly_sensitive:
tpp_demog_data: output/opensafely_tpp_demographics.csv.gz
datacombine_and_figure1:
run: >
r:latest analysis/01_data_import/101_data_combine.R
needs: [scrape_all_data, 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_raw_skim: output/data_properties/op_raw_skim.txt
openprompt_raw_tab: output/data_properties/op_raw_tabulate.txt
openprompt_mapped_skim: output/data_properties/op_mapped_skim.txt
openprompt_mapped_tab: output/data_properties/op_mapped_tabulate.txt
raw_summ_base_s: output/data_properties/op_baseline_skim.txt
raw_summ_base_t: output/data_properties/op_baseline_tabulate.txt
raw_summ_survey1_s: output/data_properties/op_survey1_skim.txt
raw_summ_survey1_t: output/data_properties/op_survey1_tabulate.txt
raw_summ_survey2_s: output/data_properties/op_survey2_skim.txt
raw_summ_survey2_t: output/data_properties/op_survey2_tabulate.txt
raw_summ_survey3_s: output/data_properties/op_survey3_skim.txt
raw_summ_survey3_t: output/data_properties/op_survey3_tabulate.txt
raw_summ_survey4_s: output/data_properties/op_survey4_skim.txt
raw_summ_survey4_t: output/data_properties/op_survey4_tabulate.txt
check_days_after_baseline: output/data_properties/sample_day_lags.pdf
p1a_jpeg: output/plots/p1a_index_dates.jpeg
p1b_jpeg: output/plots/p1b_recorded_question_responses.jpeg
p1d_jpeg: output/plots/p1c_ltfu.jpeg
p1c_jpeg: output/plots/p1d_anyresponse_hist.jpeg
p1_jpeg: output/plots/p1_fup.jpeg
p1_pdf: output/plots/p1_fup.pdf
p1b_data: output/tables/fig1b_data.csv
p1c_data: output/tables/fig1c_data.csv
p1d_data: output/tables/fig1d_data.csv
import_linked_tpp:
run: >
r:latest analysis/01_data_import/102_import_linked_tpp.R
needs: [extract_linked_tpp_info]
outputs:
highly_sensitive:
linked_tpp_data_edited: output/openprompt_linked_tpp_edited.gz.parquet
moderately_sensitive:
openprompt_tpp_skim: output/data_properties/op_tpp_skim.txt
openprompt_tpp_tab: output/data_properties/op_tpp_tabulate.txt
export_table1_stats:
run: >
r:latest analysis/02_baseline_descriptive/201_table1stats.R
needs: [datacombine_and_figure1, import_linked_tpp]
outputs:
moderately_sensitive:
table1: output/tables/table1.html
table1_stats: output/tables/table1_stats.csv
# Then need to run analysis/02_baseline_descriptive/002-map-making.R to produce the Figure 2 for the paper
export_table2_fup_stats:
run: >
r:latest analysis/03_followup_responses/301_followup_table.R
needs: [datacombine_and_figure1]
outputs:
moderately_sensitive:
table2: output/tables/table2_followup.html
table2_stats: output/tables/table2_fup_stats.csv
# Then need to run analysis/03_followup_responses/302_followup_plots.R
export_data_agreement:
run: >
r:latest analysis/04_data_agreement/401_data_agreement.R
needs: [datacombine_and_figure1, import_linked_tpp]
outputs:
moderately_sensitive:
venndiagram_jpeg: output/plots/venn.jpeg
venndiagram_pdf: output/plots/venn.pdf
agreementdata: output/tables/table3_agreement.csv
export_data_representativeness:
run: >
r:latest analysis/05_representativeness/501_demographic_representativeness.R
needs: [datacombine_and_figure1, extract_tpp_demographics]
outputs:
moderately_sensitive:
table3_stats: output/tables/table3_rep_stats.csv
table3: output/tables/table3_represetativeness.html
# Then need to run analysis/05_representativeness/502_representativeness_plot.R to produce the Figure 4 for the paper
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:03:41
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- openprompt-cohort-profile
- Requested by
- Alasdair Henderson
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- b155383
- Requested actions
-
-
datacombine_and_figure1
-
export_data_agreement
-
Code comparison
Compare the code used in this Job Request