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Leibniz ScienceCampus –
Digital Transformation of Research (DiTraRe)

Digital technology is changing the way research is conducted and shared. At the Leibniz ScienceCampus 'Digital Transformation of Research' (DiTraRe), our scientists investigate how digital tools affect their daily work - from data collection to their analysis, publication and communication. Within DiTraRe the challenges and opportunities of this transformation is explored in four disciplinary areas defined as “dimensions”.

Purple-coloured data cables hanging in the sockets of a server.

We address the challenges posed by digitisation in four distinct research clusters. 

The practical solutions developed here will be refined so that they can be applied more widely.

The "Protected Data Spaces" cluster is dedicated to the handling of sensitive data in sports science. 
"Smart Data Acquisition" deals with intelligent data acquisition using the example of "smart laboratories" in chemistry. 
The "AI-based Knowledge Realms" cluster is researching the effects of artificial intelligence in biomedical engineering. 
We are furthermore investigating the influence of new forms of publications based on large amounts of data using the example of climate research in the "Publication Cultures" cluster.

At a meta-level, we are also reflecting on the effects of digitalisation on the security of scientific work as well as the changed perception within and outside the scientific system.

December 2025
DiTraRe Symposium 2025

Mark your calendars for December 2 and 3, 2025, when the DiTraRe Symposium on Digitalisation of Research will take place at the Centre for Art and Media (ZKM) in Karlsruhe. Through a keynote presentation, panel discussions, and interactive sessions, participants will explore the fast-evolving landscape of digital research - from AI-driven data analysis and curation, open science practices to groundbreaking technological advancements that have shaped how we conduct and share knowledge. Come exchange ideas with leading experts, engage in lively debates, and help chart the future of research in an increasingly digital world.

The programme and more information on the Symposium will follow soon.

Black and purple image showing attendees at a conference from behind

The work programme of DiTraRe is organised as a matrix: Four research clusters (RC) each start from a scientific use case that raises concrete questions. These questions are examined along the four dimensions. Subsequently, (i) an accordingly coherent solution is developed which (ii) is evaluated by the use case partners, (iii) the questions are generalised and placed in the overall context of the DiTraRe in order to move from the concrete to a more abstract level, (iv) ensuring the transferability of the research results to other disciplines.

Dimensions
Research Cluster
01
Protected data spaces
Ethical issues in the handling of sensitive data, e.g. necessary negotiation processes and trade-offs between transparency and data protection, as well as the trust of data subjects and researchers in the completeness, integrity, anonymity and traceability of data
02
Smart Data Acquisition
Appropriate involvement of society in virtual spaces, e.g. define the conditions for acceptance of data from a stakeholders’ perspective in transdisciplinary research processes
03
AI-Based Knowledge Realms
Design and communication of decision-making processes in view of the uncertainty of knowledge, e.g. knowledge gained by AI methods, as well as on the applicability of machine learning methods with regard to data representation
04
Publication Cultures
Necessity of a cultural change with regard to the needs of research and society for mutual communication, especially in the light of Open Science, and new formats of science communication
01
Protected data spaces
Representation of (partially) protected information in open Knowledge Graphs and on interweaving protected with non-critical data
02
Smart Data Acquisition
Application of novel methods of data acquisition, analysis and interpretation, and their evaluation in comparison to the results gained by traditional intellectual processes
03
AI-Based Knowledge Realms
Explainability and explanatory components based on symbolic knowledge representation (combination of symbolic and sub-symbolic AI, explainable AI), on hybrid AI systems that complement humans, on automatically generated semantic relations in Knowledge Graphs
04
Publication Cultures
Massively parallel authoring and quality assurance of large Knowledge Graphs
01
Protected data spaces
Data protection and pseudonymisation/anonymisation of different categories of sensitive data and conceptualises re-use models by taking into account ideas such as data intermediation services and data altruism. Based on the results, we develop security and privacy awareness measures
02
Smart Data Acquisition
IP legislation and licences for cooperatively created data and data resulting machine-based analyses
03
AI-Based Knowledge Realms
Potential of synthetic training data for AI systems with regard to the challenges of data protection and legal questions regarding digital twins, e.g. in medicine
04
Publication Cultures
Impact and analysis of data laws, policies and data strategies, particularly with respect to Open Science
01
Protected data spaces
Requirements for secure storage of personal data with regard to integrity, confidentiality, authenticity and availability. We design security and privacy solutions that consider (socially) acceptable risks
02
Smart Data Acquisition
Automation and virtualisation of laboratory research (“smart lab”), including the design and implementation of next-generation ELN with innovative functions to facilitate accelerated research processes, such as directly connected digital measuring devices
03
AI-Based Knowledge Realms
Necessary infrastructure to generate, store and disseminate (synthetic) training data, with emphasis on interoperability and re-use
04
Publication Cultures
Publication and exploration of extensive datasets, on new publication formats, e.g. including actionable source code, partially generated text, software publications