This lecture will provide an overview of neuroimaging techniques and their clinical applications.

Introductory presentation on how data science can help with scientific reproducibility.

FAIR principles and methods currently in development for assessing FAIRness.

The tutorial is intended primarily for beginners, but it will also beneficial to experimentalists who understand electroencephalography and event related techniques, but need additional knowledge in annotation, standardization, long-term storage and publication of data.

Introduction to the first phases of EEG/ERP data lifecycle