Data ethics is not a list of principles or guidelines to follow in order to ‘get data work right’; it is a way of reasoning and an ability to explicitly evaluate and defend specific strategies and decisions. This session is dedicated to understanding how data works and its dynamics, to be able to situate ethical reasoning within an adequate epistemic framework, with a focus on the ethical questions around the use of Big Data, Machine Learning and Artificial Intelligence.

Generative AI is increasingly applied in research and can support the implementation of FAIR and open research practices. But when AI models, infrastructures and tools themselves are closed systems, they fail to conform to good research practices and principles of Open Science such as trans­parency, accountability and reproducibility.

Our NFDI4ING lecture series RDM Basics for Engineers provides a practical introduction to research data management (RDM) in the engineering sciences. The series focuses on basic concepts, practical examples, and hands-on exercises. Participants will learn how RDM can be integrated into research workflows from the very beginning.

Der Verbund Forschungsdaten Bildung (VerbundFDB) bietet im April dieses Jahres einen Train-the-Trainer-Workshop zum Thema Forschungsdatenmanagement in der empirischen Bildungsforschung an.

During the webinar, you will gain key updates on current developments, learn about the progress towards establishing the Austrian EOSC Node, and have the opportunity to engage directly with experts in an interactive discussion.

Die Session wird die Arbeit der AG und ihre bereits verfügbaren Angebote vorstellen. In einem Hands-On-Teil sollen die Teilnehmer:innen die Gelegenheit erhalten, einzelne Teile der Minimaldatensatzempfehlung zu testen und in den problematischen Umgang mit Ortsdaten einzutauchen, um abschließend Wünsche und Feedback an die AG weiterzugeben.

Join our fireside chat series featuring seasoned leaders from research data infrastructures (RDI) as they share hard‑won insights on building, running, and sustaining reliable data ecosystems. Each session will uncover practical lessons for long-term sustainability governance, federated services, community buy-in, and long‑term sustainability – designed to inspire the current and future RDI leaders.

The presentation discusses the current state-of-the-art in scientific information systems and provided new ideas for combining data display, citation, and verification of arguments using formal means.

The Museum für Naturkunde Berlin houses a large number of objects collected in previously colonized territories. In this session, we ask ourselves which ethical and legal aspects need to be taken into account when dealing with colonial data? By bringing these questions together, the seminar aims to demonstrate the importance of both critical reflection and careful digital curation.

Our NFDI4ING lecture series RDM Basics for Engineers provides a practical introduction to research data management (RDM) in the engineering sciences. The series focuses on basic concepts, practical examples, and hands-on exercises. Participants will learn how RDM can be integrated into research workflows from the very beginning.