The way in which research is done at universities and scientific institutions is increasingly influenced by digitalization processes. This applies to research methods as well as to their communication in science and society. For example, artificial intelligence can be used to analyze and correlate complex and comprehensive climate data much faster than only a few years ago. At the same time, new questions emerge, such as those regarding data protection or the transparency and traceability of research results. With a focus on “Digital Transformation”, KIT and FIZ Karlsruhe investigate the effects of the increasing digitalization of scientific work in four interdisciplinary research clusters at the Leibniz ScienceCampus “Digital Transformation of Research” (DiTraRe) and develop concrete solutions based on use cases from different disciplines.

The DiTraRe work program is organized in the form of a matrix: Four research clusters are each based on a scientific application that raises specific questions. These questions are then examined along four dimensions. ITAS is responsible for the research cluster on “Publication Cultures” and the “Reflection & Resonance” dimension.

The “Publication Cultures” research cluster focuses on the current practice of publishing research data in both the Leibniz and Helmholtz Associations. This will be the basis for sounding out the potential of future open science publication formats and identifying scientific and social needs. The OpenTA portal is used as an experimental field for publications and the communication of research data. Particular attention is paid to the current and potential use of generative AI applications that are able to produce their own texts.

The following use cases are researched in the “Reflection & Resonance” dimension:

1. “MORE data”: sensitive scientific data on motor activity research from the KIT Institute of Sports and Sports Science
2. Management of large amounts of research data from the KIT Institute of Meteorology and Climate Research
3. Digital methods in technology assessment (TA)

Based on the selected use cases (sports science, climate data, and TA) these cases, the specific need, and the handling of data can also be analyzed comparatively.

Tel.: +49 721 608-22509
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Tel.: +49 721 608-26814
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