Introduction to Open Science (OS) is the first training module of the "Master in Data Management and Curation". Module Description: Principles: Open Science is about increased transparency, re-use, participation, cooperation, accountability, and reproducibility for research. It aims to improve the quality and reliability of research through principles like inclusion, fairness, equity, and early sharing. Open Science can be viewed as research simply done properly, and it extends across the Life and Physical Sciences, Engineering, Mathematics, Social Sciences, and Humanities (Open and Responsible Research). Practices: Open Science includes changes to the way science is done, including opening access to research publications, data-sharing, open notebooks, transparency in research evaluation, ensuring the reproducibility of research (where possible), transparency in research methods, availability of open-source code, software and infrastructure, with the contribution of citizen science and the accessibility of open educational resources. Objectives: On successful completion of this module students should have their own understanding on what is Open Science, how to adopt and adapt Open Science practices to different research fields, how to apply FAIR principles in Research Data Management. They will also be able to find documentation and tools to support researchers inOpen Science and FAIR practices.