FAIR Jupyter: A Knowledge Graph Approach to Semantic Sharing and Granular Exploration of a Computational Notebook Reproducibility Dataset

The way in which data are shared can affect their utility and reusability. Here, we demonstrate how data that we had previously shared in bulk can be mobilized further through a knowledge graph that allows for much more granular exploration and interrogation. The original dataset is about the comput...

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Bibliographic Details
Main Authors: Samuel, Sheeba, Mietchen, Daniel
Format: Article
Language:English
Published: Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik 2024-12-01
Series:Transactions on Graph Data and Knowledge
Subjects:
Online Access:https://drops.dagstuhl.de/storage/08tgdk/tgdk-vol002/tgdk-vol002-issue002/TGDK.2.2.4/TGDK.2.2.4.pdf
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