The goal of these resources is to give a bird's eye view of the developments in open scientific research. That is, we cover both social developments (e.g. the culture in various communities) as well as technological ones. As such, no part of the contents are especially in-depth or geared towards advanced users of specific practices or tools. Nevertheless, certain sections are more relevant to some people than to others. Specifically:

The most interesting sections for graduate students will be about navigating the literature, managing evolving projects, and publishing and reviewing.
Lab technicians may derive the most benefit from the sections about capturing data, working with reproducibility in mind and sharing data.
For data scientists, the sections on organizing computational projects as workflows, managing versions of data and source code, open source software development, and data representation will be most relevant.
Principal investigators may be most interested in the sections on data management, data sharing, and coping with evolving projects.
Scientific publishers may be interested to know how scientists navigate the literature, what the expectations are for enhanced publications, and the needs for data publishing.
Science funders and policy makers may easily find value in the capturing data, data management, data sharing and navigating the literature.
Science communicators may be more interested in exploring the content by starting with navigating the literature, working with reproducibility in mind and sharing data.

doi:10.5281/zenodo.1015288

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 Source principles along with practices for open data management and open data sharing.

You’ll learn to establish links between publications data 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?
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.