Claudia Martens, Markus Demleitner
B2FIND – Searching for Research Data across Disciplines
B2FIND is a cross-disciplinary data search engine developed within the pan-European Collaborative Data Infrastructure EUDAT CDI. It has been the central indexing tool for EOSC-hub and it plays a major role in the Data Infrastructure Capacity for EOSC (DICE). Technically, it is a comprehensive joint metadata catalogue that includes metadata records for data stored in various data centres and using different schemas on widely differing granularity. Hence, the major challenge B2FIND faces is bridging the semantic and structural gaps between different disciplines’ practices. This contribution discusses how these bridges were built using the example of the Virtual Observatory, a global data infrastructure in Astronomy which itself looks back on 20 years of evolution in metadata management.