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Andreas Wagner boosted
NFDI4DS
NFDI4DS
@NFDI4DS@nfdi.social  ·  activity timestamp 4 days ago

Our NFDI4DS Lecture Series continues with Lecture 12 on 27. January 2026 9:00 online.

Title: Supporting Research Data Management with generative AI - a modern FAIRytale?

Speaker: Sandra Geisler

Registration via https://events.hifis.net/event/3498/.

#NFDI4DS #NFDIrocks #LectureSeries #ResearchDataManagement #RDM
#GenAI

White text on magenta background stating
"Sandra Geisler
Supporting Research Data Management with generative AI - a modern FAIRytale?
27th January 2026 9:00 a.m. online
Lecture Series NFDI4DS #12".
Top left a smaller circle with a photo of a smiling woman wearing a black jacket.
Bottom right a large white circle with NFDI4DS logo and black text "NFDI4DataScience www.nfdi4datascience.de"
White text on magenta background stating "Sandra Geisler Supporting Research Data Management with generative AI - a modern FAIRytale? 27th January 2026 9:00 a.m. online Lecture Series NFDI4DS #12". Top left a smaller circle with a photo of a smiling woman wearing a black jacket. Bottom right a large white circle with NFDI4DS logo and black text "NFDI4DataScience www.nfdi4datascience.de"
White text on magenta background stating "Sandra Geisler Supporting Research Data Management with generative AI - a modern FAIRytale? 27th January 2026 9:00 a.m. online Lecture Series NFDI4DS #12". Top left a smaller circle with a photo of a smiling woman wearing a black jacket. Bottom right a large white circle with NFDI4DS logo and black text "NFDI4DataScience www.nfdi4datascience.de"
HIFIS and Helmholtz Events (Indico)

Supporting Research Data Management with generative AI - a modern FAIRytale?

Interdisciplinary projects pose significant challenges for research data management (RDM). Workflows for generating, processing, and analyzing FAIR data, as well as data formats and supporting infrastructures, are often highly heterogeneous. As a result, unaligned data silos frequently emerge, making data sharing between stakeholders difficult, if not impossible. Moreover, many RDM tasks are complex and are often perceived by researchers as additional, burdensome work. Generative AI offers...
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NFDI4DS
NFDI4DS
@NFDI4DS@nfdi.social  ·  activity timestamp 4 days ago

Our NFDI4DS Lecture Series continues with Lecture 12 on 27. January 2026 9:00 online.

Title: Supporting Research Data Management with generative AI - a modern FAIRytale?

Speaker: Sandra Geisler

Registration via https://events.hifis.net/event/3498/.

#NFDI4DS #NFDIrocks #LectureSeries #ResearchDataManagement #RDM
#GenAI

White text on magenta background stating
"Sandra Geisler
Supporting Research Data Management with generative AI - a modern FAIRytale?
27th January 2026 9:00 a.m. online
Lecture Series NFDI4DS #12".
Top left a smaller circle with a photo of a smiling woman wearing a black jacket.
Bottom right a large white circle with NFDI4DS logo and black text "NFDI4DataScience www.nfdi4datascience.de"
White text on magenta background stating "Sandra Geisler Supporting Research Data Management with generative AI - a modern FAIRytale? 27th January 2026 9:00 a.m. online Lecture Series NFDI4DS #12". Top left a smaller circle with a photo of a smiling woman wearing a black jacket. Bottom right a large white circle with NFDI4DS logo and black text "NFDI4DataScience www.nfdi4datascience.de"
White text on magenta background stating "Sandra Geisler Supporting Research Data Management with generative AI - a modern FAIRytale? 27th January 2026 9:00 a.m. online Lecture Series NFDI4DS #12". Top left a smaller circle with a photo of a smiling woman wearing a black jacket. Bottom right a large white circle with NFDI4DS logo and black text "NFDI4DataScience www.nfdi4datascience.de"
HIFIS and Helmholtz Events (Indico)

Supporting Research Data Management with generative AI - a modern FAIRytale?

Interdisciplinary projects pose significant challenges for research data management (RDM). Workflows for generating, processing, and analyzing FAIR data, as well as data formats and supporting infrastructures, are often highly heterogeneous. As a result, unaligned data silos frequently emerge, making data sharing between stakeholders difficult, if not impossible. Moreover, many RDM tasks are complex and are often perceived by researchers as additional, burdensome work. Generative AI offers...
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