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fusion-jena · Nov 15, 2024 · 0369564 · 0369564
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diff --git a/README.md b/README.md
@@ -62,5 +62,6 @@ The data used for constructing FAIR Jupyter Knowledge Graph is available [here](
 
 ## Publication
 
+* Sheeba Samuel, Daniel Mietchen, FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset, Transactions on Graph Data and Knowledge, Vol. 2, Issue 2, Article No. 3, 2024.
+(Preprint: arXiv:2404.12935, [https://doi.org/10.48550/arXiv.2404.12935](https://doi.org/10.48550/arXiv.2404.12935))
 * Sheeba Samuel, Daniel Mietchen, Computational reproducibility of Jupyter notebooks from biomedical publications, GigaScience, Volume 13, 2024, giad113, [https://doi.org/10.1093/gigascience/giad113](https://doi.org/10.1093/gigascience/giad113)
-* Sheeba Samuel, Daniel Mietchen, FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset, arXiv preprint arXiv:2404.12935, [https://doi.org/10.48550/arXiv.2404.12935](https://doi.org/10.48550/arXiv.2404.12935)
diff --git a/docs/content/index.md b/docs/content/index.md
@@ -72,5 +72,6 @@ Note: The csv files that could not be uploaded in GitHub due to size will be add
 
 ## Publication
 
-* Sheeba Samuel, Daniel Mietchen, Computational reproducibility of Jupyter notebooks from biomedical publications, GigaScience, Volume 13, 2024, giad113, [https://doi.org/10.1093/gigascience/giad113](https://doi.org/10.1093/gigascience/giad113)
-* Sheeba Samuel, Daniel Mietchen, FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset, arXiv preprint arXiv:2404.12935, [https://doi.org/10.48550/arXiv.2404.12935](https://doi.org/10.48550/arXiv.2404.12935)
+* Sheeba Samuel, Daniel Mietchen, FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset, Transactions on Graph Data and Knowledge, Vol. 2, Issue 2, Article No. 3, 2024.
+(Preprint: arXiv:2404.12935, [https://doi.org/10.48550/arXiv.2404.12935](https://doi.org/10.48550/arXiv.2404.12935))
+* Sheeba Samuel, Daniel Mietchen, Computational reproducibility of Jupyter notebooks from biomedical publications, GigaScience, Volume 13, 2024, giad113, [https://doi.org/10.1093/gigascience/giad113](https://doi.org/10.1093/gigascience/giad113)