@Article{samuel_et_al:TGDK.2.2.4, author = {Samuel, Sheeba and Mietchen, Daniel}, title = {{FAIR Jupyter: A Knowledge Graph Approach to Semantic Sharing and Granular Exploration of a Computational Notebook Reproducibility Dataset}}, journal = {Transactions on Graph Data and Knowledge}, pages = {4:1--4:24}, ISSN = {2942-7517}, year = {2024}, volume = {2}, number = {2}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/TGDK.2.2.4}, URN = {urn:nbn:de:0030-drops-225886}, doi = {10.4230/TGDK.2.2.4}, annote = {Keywords: Knowledge Graph, Computational reproducibility, Jupyter notebooks, FAIR data, PubMed Central, GitHub, Python, SPARQL} }