IMMERSE Data Release builder

Pipeline to extract, filter and pseudonymise research datasets.

Pre-requiremements:

Data definition according to reseach proposal including intested files (phase II) from each IMMERSE data source, interested variables, and assessment window (Baseline, T1, T2, T3).

Requirements:

• Connection to current Research Database,
• Participant IDs list to exclude (essential filter)

Features

• This script exports in csv format, a requested set of questionnaires in a tabular form from a requested data entrance.
• Filters participant IDs which dropped out at Baseline.
• Exports a summary of unique participant identifiers along with its unit, condition, randomise value as an updated version from existing REDCap list as CSV file.
• Creates a copy of exported CSV file without headers.

Use template example_request_xx.yaml, and From main.py, enable from STEP2 to STEP7:

# Step 2: Reads requirements from YAML.
requirements_dict, assessment_windows = read_yaml_file(filepath_requirements_id_xx)

Optional step: Define variables in a info.txt according template and from main.py, enable:

# Step 1: Generates YAML file from Info.txt.
info_to_yaml(filepath_requirements_id_30)

Contact

Nayeli A. Silva (DIZ Erlangen)