Research data management and publication

Short description

Research data is part of a digitisation process in science that challenges aspects of scientific work such as reproducibility, re-usability or sustainability. The professional management of digital research data is an essential prerequisite for effective and excellent research. In this workshop, the most important aspects of research data management and publication are considered, with a special focus on social sciences.

The units are accompanied by practical exercises, through which the newly acquired knowledge can be strengthened and transferred to the participants' own cases. Participants will get to know useful tools and platforms to effectively work with their data.

Target group

PhD researchers and postdocs interested in the topic and/or struggling with certain aspects of research data management and publication in the context of their own dissertation or research projects.



  • Katarzyna Biernacka is a PhD researcher in the HEADT Centre project at the Institute of Computer Science of Humboldt-Universität zu Berlin in the field of research data publication. She is very interested in digital tools and the new forms of learning, which has shaped her research interests. Over the past few years, she has been researching mobile information and communication technologies in teaching, using Latin America as an example. Since 2019, she has been part of Professor Niels Pinkwart’s research group Computer Science Education at Humboldt-Universität zu Berlin. She is the spokesperson for the sub-working group Trainings and Further Education of the DINI/nestor working group Research Data, as well as Co-Chair of the RDA Education and Training on Handling of Research Data interest group. Since March 2021, she has also been a Member of the Steering Committee of the DINI/nestor working group on Research Data and in May 2021 she joined the Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI).