The structure of this MOOC is still under development. At the moment, the following modules are proposed

1. Open Principles

To innovate in a field frequently implies moving against trends and cultural inertia. Open Science is no different. No matter how convinced you are, you will come across resistance from peers and colleagues, and the best defence is strong personal conviction that what you are doing may not be perfect now, but is the right decision in the long run.

Learning Objectives:
LO1a: Understand the ethical, legal, economic, and research impact arguments for and against Open Science (knowledge)
LO1b: Set up a personal profile for impact: measure the societal attention on the full range of research outputs (tasks)

Resources: Open Principles

2. Collaborative Platforms

Virtual Research Environments are the way of the future in collaboration across continents, time zones and disciplines. While the definition of a VRE may be up for grabs, in this chapter we show you collaborative platforms that work today, and why they can accelerate your collaborative power.

Learning Objectives:
LO2a: Learn what major types of collaborative platforms are available and what the use cases for each might be. (knowledge)
LO2b: Be able to use a variety of collaborative platforms (tasks)

Resources: Collaborative Platforms

3. Reproducible Research and Data Analysis

Reproducible research is at the heart of science. There has been an increased need and willingness to open and share research from the data right through to the interpretations of results. This has come with its own set of challenges, which include designing workflows that can be adopted by collaborators in a way that does not compromise the integrity of their contribution. This module will introduce the necessary tools required for transparent reporting which is reproducible and readable.

Learning Objectives:
Specific objective will include workflow design, source data management, data manipulation, dynamic reporting and reproducible analysis.
LO3a: Learn about the nature of reproducible research, what the key requirements are, and which resources are available to support a workflow for reproducible research (knowledge)
LO3b: Be able to use available resources for reproducible research; be able to use a workflow which leads to reproducible research

Resources: Reproducible Research and Data Analysis

4. Open Data

Learning Objectives:
LO4a: Learn the characteristics of open data, understand the advantages and disadvantages (alternatively, arguments for and against) open data
LO4b: Be able to turn a closed data set made for personal use into an open data set made for open accessibility and transparency.

Resources: Open Data

5. Open Research Software and Open Source

Learning Objectives:
LO5a: Learn the characteristics of open software; understand the ethical, legal, economic, and research impact arguments for and against open software (knowledge), understand the quality requirements of open code;
LO5b: Be able to turn code made for personal use into open code which is accessible by others;
LO5c: Use software (tools) that utilizes open content

Resources: Open Research Software and Open Source

6. Open Access to Research Papers

Making scholarly work openly available is easy, legal, and has demonstrable benefits to the author, which makes it a good beginning step for a scholar just getting into Open. There is a set of knowledge required to navigate the Open Access landscape, involving copyright, article status, repositories, and economics. This module will introduce key concepts and tools that can help the student make their work Openly available and maximize the benefits to themselves and others.

Learning Objectives:
LO6a: Understand the allowances for self-archiving in publishing contracts, including article versions, availability, and the types of outlets for self-archiving.
LO6b: Develop a personal infrastructure for self-archiving.
LO6c: Articulate benefits of Open Access in terms of impact and knowledge economy.

Resources: Open Access to Research Papers

7. Open Peer Review

Resources: Open Peer Review

8. Citizen Science and Science Communication

Science communication is often seen as something from an institution to someone from the media. It can be so much more, but for that a little bit of understanding of the basics and existing structures is needed, as well as the capabilities of newer channels like blogs or social media for example. When you are open about your research, you may as well communicate it.

Learning Objective:
LO1: Understanding basic concepts and the viewpoints of different stakeholders in science communication.
LO2: Basic concept of the terms “target group” and “communication channel”, who to involve in what kind of communication and how to do it strategically.
LO3: How you could communicate your research/story, with whom, using what and why.

Resources: Citizen Science and Science Communication

9. Open Educational Resources
10. Open Advocacy

Now that you are an expert on applying Open Science at each step of your Research Lifecycle, here are some basics on becoming a pro-active ambassador for open scholarship in any discipline.

Resources: Open Advocacy