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 prevailing 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. This module will introduce the guiding principles of the ‘open movement’, the different actors involved, and the impact that they are having.

Learning Objectives:

LO1a: Understand the ethical, legal, social, economic, and research impact arguments for and against Open Science (knowledge).
LO1b: Set up a personal profile for defining your impact: measure the social and academic attention on the full range of research processes and outputs (tasks).

Resources: Open Principles

2. Collaborative Platforms


Virtual Research Environments (VRE) 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, they provide powerful examples of high-performing modern research tools. In this module you will develop an understanding of collaborative platforms that work today, and how they can greatly enhance your research workflows.

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 research 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 collection 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:

LO3a:  Learn about the nature of reproducible research, workflow design, data management and manipulation, dynamic reporting, what the key requirements are, and which resources are available to support these (knowledge).
LO3b: Be able to use available resources to create a workflow for reproducible research (task).

Resources: Reproducible Research and Data Analysis

4. Open Research Data


Open research data refers to the publishing the data underpinning scientific research results so that they have no restrictions on their access. Openly sharing data opens it up to inspection and re-use, forms the basis for research verification and reproducibility, and opens up a path to broader collaboration. In this module, you will gain insight into the importance of data sharing for reproducible research and how to curate and share your own research data.

Learning Objectives:

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

Resources: Open Data

5. Open Research Software and Open Source


Software and technology underpin modern science. There is an increasing demand for more sophisticated open source software, matched by an increasing willingness for researchers to openly collaborate on new tools. These developments come with a specific ethical, legal and economic challenges that impact upon research workflows. This module will introduce the necessary tools required for transforming software into something that can be openly accessed and re-used by others.

Learning Objectives:

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

Resources: Open Research Software and Open Source

6. Open Access to Research Papers


Making scholarly research outputs openly available is easy, legal, and has demonstrable benefits to authors, making it a good beginning step for a researcher just beginning to explore the open world. 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 a researcher 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 issues to do with copyright, licensing, article versions, availability, embargoes, and the types of outlets for self-archiving (knowledge).
LO6b:  Gain an understanding of the history of scholarly publishing, and be able to articulate benefits of Open Access in terms of impact on society and our knowledge economy (knowledge).
LO6c:  Develop a personal infrastructure for self-archiving (task).

Resources: Open Access to Research Papers

7. Open Peer Review and Evalutation


Concurrent with broader developments in Open Science and increased transparency in research, Open Peer Review is a complex, and rapidly evolving topic. Alongside this, more diverse criteria of research evaluation beyond traditional methods are emerging, and with these come a range of practical, ethical, and social factors to consider. This module will provide insight into current developments in Open Peer Review and research evaluation.

Learning Objectives:

LO7a: To understand the history of peer review, and place current developments in Open Peer Review in that context (knowledge).

LO7b: To gain insight into the process of research evaluation, and the role that peer review and traditional and next-generation metrics play in this (knowledge).

LO7c: To be able to identify and apply a range of metrics to demonstrate the broader impact of your research outputs (tasks).

Resources: Open Peer Review and Evaluation

8. Citizen Science and Science Communication


Science communication is often seen as a unidirectional process from scientist to non-scientists, but with careful and strategic engagement it can be so much more. For this, a deeper understanding of the basics and existing structures is needed, as well as the capabilities of newer channels like social media. This module will teach effective techniques for communicating your research with a wider audience, as well as engaging them with the process itself.

Learning Objective:

LO8a: Understand the basic concepts and the viewpoints of different stakeholders in science communication (knowledge).

LO8b: Basic concept of the terms “target group/audience” and “communication channel”, who to involve in what kind of communication, and how to do it strategically (knowledge).

LO8c:  Ways to communicate your research/story, with whom, and using what tools (tasks).

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