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1000
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Abstract/Summary
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Real-world data is the new oil. If we get it, our research and AI models will outperform the ones designed with less data. However, real-life and real-world data come with many hurdles such as heterogeneity, quality, scarcity, ethical data use, and more. In this panel researchers from different communities will discuss opportunities and challenges along the research data cycle including data collection, sharing, ethics, and interdisciplinary and international cooperation. In our panel, we will host established researchers who have experience in data sharing and reuse, as well as early-career researchers who struggle to use real-world data for their daily work. We will share our experiences and learn from each other.
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