SIGDIUS Seminar - online - 2pm

November 8, 2023, 2:00 p.m. (CET)

Time: November 8, 2023, 2:00 p.m. (CET)
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The Special Interest Group Data Infrastructure offers a forum to interested working groups that want to set up or further develop an RDM infrastructure at working group or institute level. We invite you to a monthly SIGDIUS seminar, to which we invite internal and external experts for presentations and discussions. SIGDIUS members will have the opportunity to exchange their experiences with concrete RDM infrastructures.

We cordially invite all interested parties to our next meeting on 8 November 2023 at 2 pm. This seminar will be held as an online seminar. For participation, please send an e-mail to

Lisa Käde
JBB Rechtsanwälte Jaschinski Biere Brexl Partnerschaft mbB
Creative (?) Machines - Copyright Aspects of Machine Learning

Artificial Intelligence (especially in the form of generative machine learning models) has been receiving increased attention over the past few years. With generative ML models available online, accessing what might be called "artificial creativity" is easier than ever. However, many legal questions arise with the use of this new technology: Can existing copyright protected data be used to train new models? How can machine learning models themselves be protected? And who might claim authorship of machine learning output - or should we consider all AI output to be in the public domain? And, beyond the legal domain: How is creativity even involved? The session will provide relevant basics to machine learning and copyright considerations in order to help answering at least some of these questions.

Dr. Lisa Käde studied both business informatics (B.Sc., DHBW Stuttgart) and law (Uni Freiburg) and received her doctoral degree in law from Albert-Ludwigs-Universität Freiburg in 2021 with a thesis on machine learning and copyright. She was a doctoral and post-doc researcher at Karlsruhe Institute of Technolgy (KIT), Center for Applied Legal Studies (ZAR) from 2018 to 2023. With her research she is aiming to bridge existing gaps between legal and technical analyses, focusing not only on copyright issues, but also addressing ethical questions, explainability of AI models and computational creativity. In 2023, she joined JBB Rechtsanwälte, Berlin, as a lawyer for copyright, artificial intelligence and Open Source Software licensing. She is also a manager at RAILS - Robotics & AI Law Society e.V.

Dorothea Iglezakis
(FoKUS - Kompetenzzentrum für Forschungsdaten)
Storage for Science (bwSFS-2): integrating research data management in large scale data in the early phases of research

The main objective of the large storage device bwSFS-2 is to support the management of large scale research data in all the phases of the research data lifecycle - from planning over generation, analysis and visualisation until the publication and archival. With bwSFS-2, metadata can be added to data even before it is generated and supplemented automatically during the research process. This metadata can then be used to find and share data and assess its quality. Interfaces to data repositories such as DaRUS enable the uncomplicated publication of data with the transfer of metadata. Only well-documented data is preserved in the long term. Following the approval of funding by the university and the state, the system is currently being put out to tender. This talk will give an overview over the planned research data management functionalities of the system.

Dorothea Iglezakis heads the Competence Center for Research data management (FoKUS) of the University of Stuttgart. FoKUS supports all members of the University of Stuttgart and their partners in managing and publishing their research results in form of data and software and operates the data repository DaRUS. With a background in psychology and computer science, Dorothea is passionate about making valuable research data and research software discoverable, understandable and usable with the help of structured metadata.

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