Zukünftige Veranstaltungen

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.

In the first part of the workshop we will talk about one of Open Science requirements, Research Data Management (RDM): a range of activities and topics relating to the handling of digital research data. Here you will learn about best practices for collecting, organizing, documenting, publishing and archiving research data in digital systems according to the FAIR Principles. In the second part of the workshop, we shall focus on Open Access and the related services offered by the university. We will talk about current institutional agreements between the university and different publishers, e.g. the publish & read agreements with Elsevier, Wiley, and Springer Nature ("DEAL"). You will learn how they work and what other options you have for publishing your work in open access, e.g. with financial support through our OA Publication Fund. You will also gain insight into self-archiving (Green Open Access) and the options provided by our institutional repository bonndoc.

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.