In our advanced training courses, you will learn about special topics of RDM and the uses of some tools. The events are usually offered as webinars.

Duration: ca. 2 h
Location: online (prerequisite: camera and microphone)
Number of participants: min. 10, max. 20
Target group: PhD students, researchers and all interested persons

When: see schedule

Lecturer: Dr. Sophia Leimer

 Further information

Coscine is a research data management platform for FAIRe (Findable, Accessible, Interoperable, Reusable) data in research projects. Here you can store, describe with metadata, share and archive your research data. Coscine integrates functions ranging from metadata management to the automatic assignment of persistent identifiers. In collaborative projects, researchers from different institutions can work together on their data in Coscine. UDE researchers automatically receive 100 GB of S3-compatible object storage in Coscine, which can be expanded upon request. In addition, linking of other data sources is possible to display all project-relevant research data at a glance. In the workshop we will give you a hands-on introduction to Coscine.

When: see schedule

Lecturer: Dr. Sophia Leimer and Sonja Hendriks

 Further information

Why should I reuse data and how do I find suitable data? Why should I make my data reusable and what is needed to create reusable and reproducible research data? In the workshop we will address these questions and how you can save time and gain visibility for your research by reusing data and making your own data reusable.

When: see schedule

Lecturers: Dr. Henning Timm

 Further information

eLabFTW is a web application in which electronic lab books can be maintained collaboratively as a research team or group. Experiments and database elements can be added, commented and saved.

In contrast to the paper lab book, a full text search as well as the insertion and editing of images is also possible. The immutability of completed experiments is guaranteed by time stamps.

In this Hands-on workshop, you will learn the basic use of eLabFTW. Previous knowledge is not required.

When: see schedule

Lecturers: Dr. Jessica Stegemann and Dr. Julia Stapels (TU Dortmund)

Further information

With the Open Science Framework (OSF) you can organize your whole project on one platform. In the workshop, we will show you how to create projects, upload and manage materials, assign access permissions and licenses, preregister planned studies, and publish data and papers.

In a hands-on exercise, we will put theory into practice together with you.

To prepare for the workshop, please register for free on the platform https://osf.io/

When: see schedule

Lecturers: Dr. Henning Timm

 Further information

As a project management tool, GitLab offers a large selection of tools for project organization. This includes wikis for documentation, a shared and versioned data storage and a ticket system that can be used to structure work packages and manage them, for example, in the form of a Kanban board.

In this workshop we will give an insight into how these functions of GitLab can be used in the organization of scientific projects.

For practical exercises you need a university ID (Uni-Kennung) of the University of Duisburg-Essen.

Requirements for participation in the workshop: none

When: see schedule

Lecturers: Dr. Henning Timm

 Further information

Keep track of your files, keep track of your work.

Git version control software is widely used in software development to manage source code and other text files. Git repositories are organized through web-based platforms such as GitLab, which offer project management features, automation capabilities, and access management.

In combination, Git and GitLab can be used in many steps of the research process, from organizing sources and associated transcripts to collaboratively developing visualization tools.

This hands-on workshop provides an introduction to the following topics:

• Basic version control with Git
• Organizing collaborative work with GitLab
• Practical examples of automated integrity checks on research data

Requirements for participation in the workshop: Prior knowledge of Git / GitLab is not necessary; participants will receive a link to the preparation page, including installation instructions, prior to the start of the course. Duration of preparation ~3-4 hours.

When: see schedule

Lecturers: Dr. Henning Timm

Further information

Anyone who wants to reproduce research results needs - in addition to the data itself - further information: how was it processed and how was it visualized? And: how should data storage and analysis workflow be structured in order to make them reproducible for others? Using the example of a Snakemake workflow, this workshop will look at the most important aspects of reusable data analysis.

Requirements for participation in the workshop: Basic knowledge of at least one programming language (Python, R, C/C++, Java, ...) is recommended.

When: see schedule

Lecturers: Sonja Hendriks

 Further information

When are data protected by copyright? To what extent and in what way may they be passed on to other researchers or published? These are questions that will be addressed in the workshop and explained in more detail using case studies. The focus will be on § 60c of the German Copyright Act (UrhG, Scientific Research) and § 60d UrhG (Text and Data Mining) in particular, but also on other topics such as the level of creation, the scope of the work, and the subsequent use of research data under Creative Commons licenses. In addition to the case studies presented, participants can also contribute and discuss their own examples.

Please note that the contents of the workshop are for information purposes only and do not constitute legally binding information.

The workshop will be held in German.

When: see schedule

Lecturers:  Dr. Sophia Leimer and Sonja Hendriks

Further information

Would you like to document your work with the statistical software R more comprehensibly and clearly? R Notebooks offer an easy way to summarize your code, explanations and results in one document and share it with other people, regardless of their R knowledge. In this hands-on workshop, we will guide you through your first steps with R Notebooks on the way to reproducible analyses in R.

Requirements for participation in the workshop: Basic knowledge of R and computer with installation of the latest versions of R (https://www.r-project.org/) and RStudio (https://www.rstudio.com/products/rstudio/download/).