Event Calendar

During the webinar, we will discuss pathways to incentivize open data publishing through innovative metrics, addressing the urgent need for more effective policies, and examining resource disparities across regions. Attendees will gain a deeper understanding of the importance of tailored support for different disciplines and the necessity of practical resources and training to drive meaningful change in the open data landscape. This is an opportunity to engage with experts and contribute to shaping a more equitable and efficient future for open research.

his course provides a basic overview about data science applications. To produce reliable data science results a profound knowledge about the data analyses methods, data management techniques and innovative technologies is required. Additionally, to assess these results and approaches an awareness of their ethical, legal, and social implications is demanded (all topics are addressed in the following courses and operator tracks).

Unter der Leitung von Philipp Kellmeyer (Universität Mannheim) widmet sich der interaktive Workshop der Nutzung von generativer KI, insbesondere Large-Language Models (LLM) in der Hochschullehre, insbesondere im Rahmen von Red-Teaming-Übungen und anderen adversarialen Methoden.

Im Zuge dieses Hands-on-Workshops werden Konzepte zum effizienten und reproduzierbaren Management von Forschungsdaten vermittelt. Ziel des Workshops ist es, die Teilnehmenden mit verschiedenen Werkzeugen vertraut zu machen. Ebenso soll das Bewusstsein für Computational Thinking, Automatisierung und Optimierung der eigenen Prozesse geschärft werden. Die Veranstaltung beinhaltet die Einführung in Datenhandling, die Unix-Shell, die Programmiersprache Python und das Versionierungssystem Git.

In this workshop we will identify what impact is (and isn’t), the different types of impact and the potential ‘reach and significance’ of your research. You will reflect on how well prepared you are to create and capture impact and look at the important role played by your stakeholders. You will leave the session having made a good start on your Impact Map, which will provide a useful guide for you as your research evolves.

Apart from conventional on-site courses, asynchronous online courses can be used to offer low-threshold introductions to Open Science – independently from where their participants live and at what time of the day they are available. In this meet-up, Matthias Landwehr, head of the University of Konstanz’ Team Open Science, will provide an introduction to the advantages behind Open Science online courses. We will also discuss which elements they can involve and where they can be employed. As two examples, Matthias will introduce the Open Science Fundamental Course and the Open Science Advanced Course – both of these courses were created and implemented during the Re:ERUA project.

The presentation will show how you can store your research data more securely with an encryption program. It will also answer the question of what encryption is and how it works. The modules adresses the following topics: When do I need an encryption? (Factors, Transmission and storage), Protection requirements – What is encryption? (In principle, Differences between encryption, Symmetric encryption, Asymmetric encryption) – How can I encrypt my data? (Example using a program).

ReproducibiliTea is a journal club initiative that has resulted in journal clubs about open science and replicability in academic departments all over the world (see https://reproducibilitea.org/ for more history and information). IGDORE is now proud to announce our own ReproducibiliTea journal club fully online, allowing people to join from wherever they happen to be in the world!

This journal club is suited for beginners to open science. To fully understand what the open science movement is built upon, we will cover important basic concepts and discuss the most seminal works. Each session will be based on an article which all participants read in advance. Depending on the session topic, other resources such as Youtube videos or optional reading may be provided to facilitate the discussions. These will always be optional; you are never expected to prepare more than reading the session article.

Everyone is welcome – from student to Nobel Prize laureate; from intern to CEO. No prior knowledge is required to participate, but the article discussions will probably be more valuable to you if you have a university-level understanding of quantitative and/or qualitative research methodology

In dieser Veranstaltung lernen Sie die Merkmale offener Bildungsmaterialien kennen und reflektieren deren Mehrwerte und Herausforderungen. Ein besonderes Augenmerk liegt dabei auf dem Urheberrecht und der offenen Lizenzierung (nach Creative Commons). In interaktiven Übungen erfahren Sie, wie Sie offen lizenzierte Bildungsmaterialien in Ihre Lehre einbinden können und was bei der Erstellung eigener OER zu beachten ist. Darüber hinaus lernen Sie das niedersächsische OER-Portal www.twillo.de kennen – eine nachhaltige Infrastruktur für das Teilen offener Bildungsmaterialien.

This workshop will bring together researchers and publishers to identify and address the upcoming challenges for the journals as well as the increased demands on the reviewers and the wider research community. Furthermore, the workshop will identify possible chances enabled by incorporating LLM technologies within the writing and publishing process and open the path for future discussions on this topic. Thereby, we accelerate the exchange and harmonization of user journeys for the future of scholarly publication.

(Higher) education in Germany is very federal, i.e. each of Germany’s sixteen federal states (Bundesländer) provides their own eduction system. This has an impact on how research data management (RDM) is organised and advanced in Germany – apart from the national research data infrastructure (Nationale Forschungsdateninfrastruktur, NFDI), there is a range of federal state initiatives to organise and advance RDM. In this meet-up, Sophie Habinger, project coordinator of bwFDM, the federal state initiative for research data management in Baden-Württemberg, will give an overview of which federal state initiaties there are and how they fit into the German RDM landscape. After that, she will elaborate on the exemplary case of bwFDM, showcasing this initiative’s agenda and its offerings.

In many areas of modern scientific practice, it is crucial to document information precisely and in a machine-readable format and to search through it efficiently. This lecture provides a fundamental introduction to two essential tools that can significantly ease these tasks: Markdown and Regular Expressions. The second part of the course is dedicated to Regular Expressions. This powerful tool allows you to find and, if necessary, manipulate specific patterns within any string of characters. Regular Expressions are applied in various fields, from simple keyword searches to complex analysis and processing of data sequences. You will learn the basic syntax of Regular Expressions, enabling you to efficiently search for specific strings and automatically modify texts. For researchers who need to analyze large amounts of data or process complex texts, Regular Expressions are an indispensable tool.

Tibor Simko, Computing Engineer at CERN, talks about building open and reproducible data analysis services at CERN.

In this presentation, the roles defined in the AI Act will be presented and their relevance for researchers will be assessed. Furthermore, the classification of AI systems into different risk categories and their impact on research on AI systems will be discussed.

In dieser Online-Veranstaltung lernen Sie die Merkmale offener Bildungsmaterialien kennen und diskutieren deren Chancen und Herausforderungen. Besonderes Augenmerk liegt auf dem Urheberrecht und der offenen Lizenzierung. In interaktiven Übungen erfahren Sie, wie Sie offen lizenzierte Inhalte in Ihre Bildungsangebote einbinden können und was bei der Erstellung eigener OER zu beachten ist. Gemeinsam nehmen wir hierbei auch grundlegende Einsatzmöglichkeiten generativer KI in den Blick.