In our advanced training courses, you will learn about special topics of RDM and how ti use (specialized) tools. The events are usually offered online.

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

Lecturers: Marlen Externbrink (UDE), Dr. Michael Werger (UDE) and Sarah Ann Stock (UDE)

 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.

Lecturers: Dr. Sophia Leimer (UDE) and Sonja Hendriks (UDE)

 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.

Lecturers: Lisa Middelanis (TU Dortmund) und Dr. Julia Stapels (TU Dortmund)

 Further information

In this workshop you will learn how to design your qualitative research data along the FAIR principles.  In addition to the theory of the FAIR principles with special consideration of the challenges of qualitative research, alternative approaches (e.g. through codebooks) for particularly sensitive data are also presented. At the heart of the workshop is a practical part in which participants are given the opportunity to prepare a data set themselves.

No prior knowledge is required for this workshop.

The lecture language is German.

Lecturer: Dr. Henning Timm (UDE)

 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.

Lecturer: Dr. Bernd Thomas Zey (TU Dortmund)

Further information

This course provides an introduction to the Python programming language and initial applications for your research data. We will deal with loading and analyzing tabular data, displaying results graphically and saving them as text or Excel files. No knowledge of Python is required; Python beginners are particularly welcome.

In order to participate in the workshop, please install Python and a development environment. Installation instructions (in German):  https://fdm.tu-dortmund.de/informationen/2024-03-05-workshop-einfuehrung-in-python/

Lecturers: Dr. Johannes Frenzel (RUB) und Lena Pape (RUB)

 Further information

Where and how research data can be stored securely is always a challenge. Especially for research data that is not (yet) fit for publication, choosing the right repository is crucial. ReSeeD, the central research data repository of the Ruhr University Bochum, offers such an infrastructure for research data management. In this workshop you will get to know the basic functionalities of ReSeeD.

We will show you how to manage and store your data in ReSeeD - from creating datasets, collaborating on and sharing datasets, to their archiving and publication. You will also have the opportunity to try out ReSeeD first hand during the course.

Requirements for participation in the workshop: none

Lecturers: Dr. Jessica Stegemann (UDE) 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/

Lecturer: Sonja Hendriks (UDE)

 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.

Lecturers:  Dr. Sophia Leimer (UDE) and Sonja Hendriks (UDE)

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/).

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Only for members of UDE

Lecturer: Dr. Henning Timm (UDE)

 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

Only for members of UDE

Lecturer: Dr. Henning Timm (UDE)

 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.