Implementing Open Science: FAIR principles

Introduction to FAIR principles and their application for PhD students. As the landscape of scientific research evolves, it becomes increasingly important to adopt practices that promote collaboration, transparency, and knowledge sharing. The FAIR principles provide a framework for enhancing, among other things, the accessibility, reusability, and long-term preservation of research data and outputs.

This module aimed to introduce the FAIR principles and their relevance to Open Science, discussing the main strategies for applying them while respecting the "as open as possible, as closed as necessary" approach.

Module outline:

Open Science recap

Data as first-class research objects

FAIR principles: what they are and what they are intended for

Basic components: PIDs, metadata and standards, vocabularies, repositories, licenses, etc.

Open data and FAIR data

Data protection

Software and other research outputs

Tools and resources