Job request: 14000
- University of Manchester
This page shows the technical details of what happened when authorised researcher Billy Zhong requested one or more actions to be run against real patient data in the project, within a secure environment.
By cross-referencing the indicated Requested Actions with the
Pipeline section below, you can infer what
various outputs were written to. Outputs marked as
can never be viewed directly by a researcher; they can only
request that code runs against them. Outputs marked as
can be viewed by an approved researcher by logging into a highly
secure environment. Only outputs marked as
can be requested for release to the public, via a controlled
output review service.
- Status: Succeeded
- Job identifier:
version: '3.0' expectations: population_size: 30000 actions: ### study cohort ### generate_study_population_case: run: cohortextractor:latest generate_cohort --study-definition study_definition_case outputs: highly_sensitive: cohort: output/input_case.csv generate_study_population_control: run: cohortextractor:latest generate_cohort --study-definition study_definition_control outputs: highly_sensitive: cohort: output/input_control.csv ### extract patient_id & index_date in case ### process_1: run: r:latest analysis/process_1.R needs: [generate_study_population_case,generate_study_population_control] outputs: moderately_sensitive: table1: output/table_case_0.csv table2: output/table_case_1.csv table3: output/table_control_0.csv table4: output/table_control_1.csv highly_sensitive: case_csv: output/case_csv.csv match_csv: output/match_csv.csv matching_1: run: python:latest python analysis/matching.py needs: [process_1] outputs: highly_sensitive: table1: output/matched_cases.csv table2: output/matched_matches.csv table3: output/matched_combined.csv moderately_sensitive: report1: output/matching_report.txt
These timestamps are generated and stored using the UTC timezone on the TPP backend.