How to Cite

Martens, Claudia and Demleitner, Markus: B2FIND – Searching for Research Data across Disciplines, in Heuveline, Vincent and Bisheh, Nina (Eds.): E-Science-Tage 2021: Share Your Research Data, Heidelberg: heiBOOKS, 2022, p. 196–207. https://doi.org/10.11588/heibooks.979.c13729

License (Chapter)

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Identifiers (Book)

https://doi.org/10.11588/heibooks.979
ISBN 978-3-948083-54-0 (PDF)
ISBN 978-3-948083-55-7 (Softcover)

Published

04/21/2022

Downloads

Download chapter (PDF/184KB)
Statistic

Authors

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.