Information from the GAUSS office

Open Science MOOC and Göttingen study group

Dear Open Science enthusiasts,

we’d like to invite you to join an Open Science MOOC (Massive Open Online Course) on edX via:

The course starts on 30 October 2018 and lasts 4 weeks (see syllabus below). Please get started with watching videos and taking the quizzes.

We’d like to combine this with a local study group: Every week during this course there will be an opportunity to discuss the topics and how this works on Göttingen Campus. We’ll meet in the library and would like to hear from you what you liked, what questions have arised, etc. We’ll likely also take some notes to share with those who may have missed a meeting.

The meetings will take place as follows:

* 6 Nov, 14:30-15:30, Large conference room (2nd floor, glass door to the left, walk around the corner, room on the right) – Intro to Open Science

* 13 Nov, 14-15, Small conference room (2nd floor, on the gallery through glass door on the right) – RDM

* 20 Nov, 14-15, Large seminar room (1rst floor, on the gallery, where the meet-ups take place) – Publishing OA

* 27 Nov, 14-15 Small conference room (2nd floor, on the gallery) – Increasing your research visibility

All of you who indicated that they are interested to join the study group will receive a calendar invite.

All the best and see you soon,
Julika, Astrid, Daniel and Birgit

Course Syllabus

Week 1: Introduction to Open Science

Introduction to the Open Science movement. What are the objectives, main concepts, and benefits of Open Science? This includes:

  • Discussing the traditional subscription-based journal system with regards to Open Access publishing
  • Practical Open Science benefits for researchers
  • Policies of important funding organizations
  • Programs on Open Data and Open Access publishing and
  • Case studies on successful application of Open Science by researchers from different backgrounds.

Week 2: Research Data Management

Introduction to effective and secure research data management, including:

  • Learning the disciplinary standards of FAIR data sharing
  • Evaluating the strengths and weaknesses of different data storage and backup options
  • Organizing, documenting, and adding metadata to research data to optimize the visibility of your data
  • Data archiving, access, sharing and re-use with the use of data repositories
  • Understanding the different copyright licenses designed to deal with open data
  • Dealing with confidential data, company restrictions, and third-party agreements through case studies
  • Evaluating a data management plan
  • Explaining how Open Data can be applied in your field of research

Week 3: Publishing Open Access

Here you will discuss the main differences between the open access and subscription-based publication model in science, and the main misconceptions about open access publishing. In this week we also introduce the creative commons licenses used by open access journals and self-archiving policies. You will examine how you can maximize the accessibility of publications in subscription-based journals, you will present your opinion of the open access publishing model and assess the ‘openness’ of the main scientific journals in your field of research.

Week 4: Increasing your research visibility

Here you discuss and formulate your communication strategy, describing and choosing your social media channels for reaching certain target groups. Finally, conclusions of this course will be discussed and we will reflect on what has been taught in the previous weeks.