{"id":5676,"date":"2023-11-30T15:00:02","date_gmt":"2023-11-30T14:00:02","guid":{"rendered":"https:\/\/blog.rwth-aachen.de\/forschungsdaten\/?p=5676"},"modified":"2026-05-13T10:34:08","modified_gmt":"2026-05-13T08:34:08","slug":"nachbericht-tag-der-forschungsdaten-2023-nachmittagsprogramm","status":"publish","type":"post","link":"https:\/\/blog.rwth-aachen.de\/forschungsdaten\/en\/2023\/11\/30\/nachbericht-tag-der-forschungsdaten-2023-nachmittagsprogramm\/","title":{"rendered":"Follow-up Report on Research Data Day 2023 \u2013 Afternoon Program"},"content":{"rendered":"

\"Professorfigur<\/a>

Source: Own Illustration<\/p><\/div><\/p>\n

Did you miss the Research Data Day 2023 in Aachen? Too bad! Around 80 RDM activists and RDM enthusiasts from Aachen and Forschungszentrum J\u00fclich met on November 14, 2023 for a successful lecture and networking event. After we have already informed you about the morning program<\/a> of the state-wide action day in NRW, we now report on the joint afternoon event of RWTH Aachen University and Forschungszentrum J\u00fclich (FZ J\u00fclich) “From Data to Diamonds – Empowering Research with AI and RDM”.<\/p>\n

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From Data to Diamonds \u2013 Empowering Research with AI and RDM<\/strong><\/span><\/h3>\n

RDM activists, those interested in RDM and AI experts were cordially invited to spend the afternoon of Research Data Day (TdF) in NRW together on site at the SuperC of RWTH Aachen University or online via Zoom. At the event “From Data to Diamonds – Empowering Research with AI and RDM”, RDM pioneers from Aachen and J\u00fclich presented their perspectives on the topic in five exciting talks or presented their ideas and solutions for discussion on the 20 posters.<\/p>\n

Dr Johannsen, Head of the University Library at RWTH Aachen University, and Dr Mittermaier, Head of the Central Library at FZ J\u00fclich, welcomed the attendees punctually at 1pm. They emphasised the great importance of the topics for the locations as well as the good cooperation between the two institutions, which is reflected not least in this joint event.<\/p>\n

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One Keynote and Four Exciting Presentations<\/strong><\/span><\/h3>\n

In her keynote speech on “Ethics and Reserach Data Management”, Prof Nagel (RWTH) highlighted the most important ethical issues that need to be clarified for the responsible handling of research data. Above all, she emphasised the responsibility that every researcher must take: for their research data and for the consequences of their actions in research! Following the keynote, there were exciting questions and discussions about how much ethics is still acceptable in research in order to avoid the risk of over-regulation. It became clear that “good enough solutions” must be found in order to maintain the balance between regulation and non-regulation.<\/p>\n

The second lecture “Is Your Data Ready for AI? A Practitioner’s Perspective” was presented by Stefan Kesselheim from FZ J\u00fclich.<\/p>\n

He emphasised the importance of data sets that “significantly advance a scientific field if they are clearly visible and of high quality”, according to Kesselheim. Data sets must be made visible for AI methods\/experts in order to contribute to success.<\/p>\n

Dr Volker Hofmann (FZ J\u00fclich) continued the programm with his presentation “Structured Data and Ontologies: Semantic Interoperability as the Key in Today’s Research”. Hofmann, who unfortunately was unable to attend on site, was streamed into the SuperC via Zoom. In his presentation, he explained how semantic technologies can be used to achieve an unambiguous meaning of metadata and semantic interoperability.<\/p>\n

“Unlocking the Potential: LLMs Transforming Research Data Management” was the title of the penultimate presentation in the programme, given by Prof. Geisler (RWTH) and Soo-Yon Kim (RWTH). How can Large Language Models (LLMs) support stakeholders in research data management? This and other aspects were illustrated by the speakers using application examples. The fact that LLMs can support RDM stakeholders in many ways, e.g. in the creation of data management plans, was emphasised.<\/p>\n

The presentation by Prof Schmitt (RWTH) on the topic of “Elevating Insights: Empowering AI with Effective Research Data Management”. As spokesperson for NFDI4Ing, Prof Schmitt presented selected data management tools from the engineering sciences that AI can benefit from, such as Cosine, RDMO, GitLab, Jupyter Hub and Metadata Hub. He emphasised that AI and RDM form a strong team that supports each other. On the one hand, RDM can provide AI with managed data sets and data management methods, while on the other, AI can support RDM in automating manual tasks.<\/p>\n

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