AI in research data management

AI is changing every stage of the research data lifecycle, from data collection to archiving. It will revolutionize the approach to managing research data.

Imagine a future where AI transforms research data management at every stage. AI tools help generating ideas, aid in knowledge collection and support the writing process. Automated data collection and curation ensures comprehensive datasets, reducing error rates, and incomplete data. AI-driven tools and workflows uncover hidden patterns, while streamlined data processing speeds up data analyses. Intelligent storage systems optimize metadata generation, data organization and retrieval. Integrating AI into research practices promises a new era of scientific discovery, redefining traditional paradigms and propelling the scientific progress forward.

 

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Mag. Dr.phil.
Helmut Werner Klug

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