Interdisciplinary Data Discovery and Access Service - FAIR-EASE 2025 poster

Many of today's scientific problems are interconnected and involve multiple areas of knowledge.
To solve these problems, it is important for scientists from different fields to work together on multidisciplinary case studies. For these studies to succeed, we need to bridge the gaps between different domain-specific (meta)data standards and provide the scientists with a harmonised way of searching, finding and accessing datasets from various data infrastructures with varying (meta)data in syntax and semantics.