The RRI taxonomy defines that RRI involves society in science and innovation “very upstream” in the process of Research and Innovation (R&I) to align its outcomes with the values of the society. RRI is a wide umbrella connecting different aspects of the relationship between R&I and society: public engagement, open access, gender equality, science education, ethics, and governance.
In this RRI toolkit we include all the necessary courses to assist learners not only how to put RRI in practice, but also to make a strong connection between RRI and Open Science, an essential component for the application of RRI. This is why this page includes courses from both projects, FIT4RRI and FOSTER.
Each course takes about 1-3 hours to complete and each learner can receive a badge after its completion. The courses include practical tips and provide information on tools. There is no specified order through the courses – just explore topics that you want to learn more about at your own pace.
This introductory course will help you understand what RRI is and how to start applying it.
This course will help you understand the importance of public engagement in RRI and how to implement a public engagement strategy.
This course helps you understand the importance of RRI in businesses and its implementation.
This introductory course will help you to know the concepts of Open Science and RRI, key principles and the implications for practicing research.
This course covers research data ethics, along with basic data protection considerations when working with research data from human participants.
This course explains the difference between open data and FAIR data.
FOSTER Open Science courses
This introductory course will help you to understand what open science is and why it is something you should care about.
This course will show you how Responsible Research and Innovation is accelerated through Open Science.
This course will help you become skilled in making your publications openly accessible in line with funders' requirements and in the wider context of Open Science.
This course shows you how to go about assessing the findability, accessibility, interoperability and reusability (FAIRness) of research data.
In this course, you'll focus on which data you can share and how you can go about doing this most effectively.
This course helps you to get to grips with responsible data sharing.
Images used in the modules are under CC0 license unless otherwise stated.