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Explore ways to apply Open Science principles to academic work - including your own. Learn how to share your research effectively and responsibly, building greater visibility and impact.
You can become a more visible, effective and impactful researcher by sharing your research data, software, and publications openly. In this introductory course, you will learn the objectives, main concepts, and benefits of Open Science principles along with practices for Open Data management and Open Data sharing.
Research increasingly relies on code, which is developed to process, model and simulate as well as to deal with the ever-growing volume of research data. This course will cover relevant FAIR software practices that are essential for the reproducibility of your research results.
Societal participation in research is becoming ever more important. The course will demonstrate what citizen science is about, how to stimulate citizens to participate in your research and how to handle (new) responsibilities when implementing citizen science.
You will learn to establish links between publications, data, software and methods, how to attach a persistent identifier and metadata to your results, and methods for clarifying usage rights. You will also discover ways to apply these principles to your daily research and adapt established routines. Finally, you will uncover potential barriers to sharing research and discuss possible solutions.
This course will help you grasp the key principles of Open Science, with answers to questions like:
You will apply the topics of the course to a variety of case studies on Open Science adoption. You will also be presented with a hands-on guide to publishing your research with Open Access. This will help you to apply Open Science principles in your daily work. It will enable you to implement and benefit from the Open Science policies that are currently being developed by governments and research institutions around the world.
This course is aimed at researchers. Those who will benefit most include academic researchers at different levels: PhD students, postdoctoral researchers, and professors; researchers working for governments; researchers working for commercial enterprises; MSc and BSc students interested in learning about the principles of Open Science.
Additionally, you can choose elective modules and be informed on how to:
Module 1: Introduction to Open Science
Introduction to the Open Science movement. What are the objectives, main concepts, and benefits of Open Science?
By following this module you will:
Module 2: Research Data Management
Introduction to effective and secure research data management.
By following this module, you will:
Module 3: Publishing Open Access
This week you will learn all about the workings and benefits of publishing open access.
By following this module, you will be able to:
Module 4: Choose topic(s) depending on your interests:
Making your research software FAIR (and OPEN)
Research Software development has gained significant attention in the field of Open Science. It has become clear that researchers need to possess sufficient software development skills and adopt best practices to effectively share their research output. In this module, we will explore how to write and reuse code (research software) for your research. You will learn about the challenges you may face along the way – and how to address them – as well as concepts and tools for research software development, such as FAIR for Research Software, re-use of code, version control, documentation, and publication.
Increasing your research visibility
Here you discuss and formulate your communication strategy, describing and choosing your social media channels for reaching certain target groups.
Citizen science
Societal participation in research is becoming ever more important. The course will demonstrate what citizen science is about, how to stimulate citizens to participate in your research and how to handle (new) responsibilities when implementing citizen science. In this module you will learn how to involve citizens in your research.
Finally, conclusions of this course will be discussed, and we will reflect on what has been taught in the previous modules.
