Introduction to Open Science training module

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.