FOSTER - Research Data Ethics and Protection (v2)

This introductory course will help you to understand what open science is and why it is something you should care about. You'll get to grips with the expectations of research funders and will learn how practising aspects of open science can benefit your career progression. Upon completing this course, you will:understand what Open Science means and why you should care about itbe aware of some of the different ways to go about making your own research more open over the research lifecycleunderstand why funding bodies are in support of Open Science and what their basic requirements are be aware of the potential benefits of practicing open science It is important to remember that Open Science is not different to traditional science. It just means that you carry out your research in a more transparent and collaborative way. Open Science applies to all research disciplines. While Open Science is the most commonly used term, you may also hear people talking about Open Scholarship or Open Research in the Arts and Humanities.

Data-driven research is becoming increasingly common in a wide range of academic disciplines, from Archaeology to Zoology, and spanning Arts and Science subject areas alike. To support good research, we need to ensure that researchers have access to good data. Upon completing this course, you will:understand the differences between open, closed, and shared data,be able to make decisions about which data you can share,know what a Data Management Plan (DMP) is,be aware of the FAIR principles,know how to get maximum impact from sharing your research data.

Conceptually and practically, Open Science and the FAIR principles are distinct but may have similarities. Therefore, data that can be considered 'open' and/or 'FAIR' need to be first discussed individually.In this module, you will:learn the basics of FAIR and Open, the research lifecycle and possible costs associated to theseunderstand their relationship to each otherlearn about exceptions to Open Data and common arguments against being open, and the benefits of being open.

This course helps you to find the best open licence for your research outputs.Licensing your research outputs is an important part of practicing Open Science. In this course, you will:know what licences are, how they work, and how to apply them.understand how different types of licenses can affect research output reuse.know how to select the appropriate license for your research.