SIBIS
Scalable Informatics for Biomedical Imaging Studies
SIBIS is python middleware for supporting clinical data management activities. It provides a common session object with access to imaging, form, and issue databases.
Contents
Getting Started
To use sibisyou need to have access to an XNAT server and a REDCap
server.
import sibis
# Create a Session with configuration
session = sibis.Session(config_path="/path/to/config.yml")
# Use the logger for structured log format
session.logging.info('id', 'err', **kwargs)
# Connect to the configured servers
session.connect_servers()
# Access the XNAT API
projects = session.api_imaging.select.projects()
# Access the REDCap API
data_entry = session.api_data_entry.export_records(format='df')
import_laptops = session.api_import_laptops_.export_records(format='df')Related Projects
- ncanda-data-integration: https://github.com/sibis-platform/ncanda-data-integration
