SaxFDM Open Data Award to FAIR Jupyter

We are very happy and proud to announce, that our research on "FAIR Jupyter: A Knowledge Graph Approach to Semantic Sharing and Granular Exploration of a Computational Notebook Reproducibility Dataset" received special recognition through a Special Jury SaxFDM Open Data Award at the 5. SaxFDM-Tagung. Congratulations to Sheeba Samuel and Daniel Mietchen!