Future events
Events of the Research Data Service Center
- 2025-11-18T14:00:00+01:00
- 2025-11-18T17:00:00+01:00
18
TuesdayAt the Crossroads of Open Science
For science to be transparent and reproducible, it needs to be open. This concept is gaining increasing attention in the research community — but what does practicing open science actually involve? More importantly, how can you effectively integrate open science principles into your everyday research routine? What does it have to do with FAIR and research data management? What are QRPs? What is Open Access? What are predatory publishers/ journals/conferences and how to indentify and avoid them? In this interactive workshop, we will explore these and other aspects of open science. Except for microphone and webcam, no technical equipment or prior knowledge is required for this online workshop.
- 2025-11-25T10:00:00+01:00
- 2025-11-25T15:00:00+01:00
25
TuesdayResearch Data Management: A Crash Course
Digitization is changing day-to-day research practices across all fields of academic inquiry. Research data of every kind are collected, processed, analyzed, published and archived in digital systems. The term Research Data Management (RDM) refers to a range of activities and topics relating to the handling of digital research data. In this workshop, you will learn about the basics of RDM. Effective RDM is a crucial part of modern scientific practice. It involves organizing, storing, and preserving data collected during research projects to ensure data quality, security, accessibility, and compliance with legal and ethical standards. Proper RDM supports transparency, reproducibility, and long-term usability of research results, enabling researchers to collaborate more efficiently and build on existing knowledge. Except for microphone and webcam, no technical equipment or prior knowledge is required for this online workshop.
- 2026-03-03T09:30:00+01:00
- 2026-03-03T17:00:00+01:00
3
TuesdayResearch Data Management: An Interactive Crash Course
The term Research Data Management (RDM) refers to a range of activities and topics relating to the handling of digital research data. Effective RDM is a crucial part of modern scientific practice. It involves organizing, storing, and preserving data collected during research projects to ensure data quality, security, accessibility, and compliance with legal and ethical standards. Proper RDM supports transparency, reproducibility, and long-term usability of research results, enabling researchers to collaborate more efficiently and build on existing knowledge. A laptop with an internet connection is required for the exercises.