R1.A3 MOOC Open Science: Sharing Your Research with the World (2 GS credits)

Course description

You can become a more visible, effective and impactful researcher by sharing your research data and publications openly. In this 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.

Since research increasingly relies on software which is used to model and simulate, and to deal with the ever growing volume of research data, the course will also introduce FAIR software practices.

You'll 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 existing routines. Finally, you'll 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:

  • How can researchers effectively store, manage, and share research data?
  • What kinds of open access publishing are most effective?
  • How can researchers increase the visibility and impact of their research?
  • How can the use of social media contribute to the visibility and impact of research?
  • How can researchers be acknowledged for the research software they write?

You will apply the topics of the course to a variety of case studies on Open Science adoption, which you will then discuss among fellow students. 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.

This course is aimed at professionals. Those who will see the most benefit 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 to learn about the principles of Open Science.

Learning objectives

  • Describe concepts and objectives of open science
  • Analyze and discuss benefits and barriers of particular open science cases, including cases from within your own region or discipline
  • Set up an open data sharing strategy to increase your research visibility

Additionally, you can choose and learn more about any of these topics:

  • Determine appropriate route to take when publishing an open access article
  • Set up a research software sharing strategy and make it citable
  • Identify the benefits of Virtual Research Environment for sharing and using research data.

Teaching method

This is a Massive Open Online Course (MOOC) of 4 weeks. It’s organized in topics. Each topic will take about 4-5 hours to complete. You will be informed on the various topics through video lectures, case studies and interviews. In each topic your knowledge and understanding of the video content are tested by a graded quiz and a graded assignment. For those who want to learn more, we provide additional sources and references.

The topics are:

  • Week 1: Introduction to Open Science
  • Week 2: Research Data Management
  • Week 3: Publishing Open Access

    Week 4: Choose topic(s) depending on your interests:
  • Increasing your research visibility
  • Making your research software FAIR
  • Virtual Research Environments

The instructors will guide you throughout the course, launching the weekly content, promoting and engaging in discussions, and providing feedback regarding your performance after each week. Guidance and support will happen on a regular basis, mainly every day.

Course Enrolment

Course registration of Graduate School Doctoral Education (GS DE) courses is via Brightspace.