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Toward a Framework for Integrative, FAIR, and Reproducible Management of Data on the Dynamic Balance of Microbial Communities.

, , , , , , , и . e-Science, стр. 443-449. IEEE, (2022)

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Sheeba Navakode Gangadharan

Samuel Sossalla

Samuel Buttenwieser

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Samuel Taddese

 

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Towards Tracking Provenance from Machine Learning Notebooks., , и . KDIR, стр. 274-281. SCITEPRESS, (2021)A provenance-based semantic approach to support understandability, reproducibility, and reuse of scientific experiments.. University of Jena, Germany, (2019)Capturing and Semantically Describing Provenance to Tell the Story of R Scripts., , , и . e-Science, стр. 283-288. IEEE, (2021)MLProvLab: Provenance Management for Data Science Notebooks., , и . BTW, том P-331 из LNI, стр. 965-980. Gesellschaft für Informatik e.V., (2023)REPRODUCE-ME: Ontology-Based Data Access for Reproducibility of Microscopy Experiments., и . ESWC (Satellite Events), том 10577 из Lecture Notes in Computer Science, стр. 17-20. Springer, (2017)A Data-driven Approach for Core Biodiversity Ontology Development., , , и . JOWO, том 2969 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)BiodivOnto: Towards a Core Ontology for Biodiversity., , , и . ESWC (Satellite Events), том 12739 из Lecture Notes in Computer Science, стр. 3-8. Springer, (2021)Combining P-Plan and the REPRODUCE-ME Ontology to Achieve Semantic Enrichment of Scientific Experiments Using Interactive Notebooks., и . ESWC (Satellite Events), том 11155 из Lecture Notes in Computer Science, стр. 126-130. Springer, (2018)ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks., и . IPAW, том 12839 из Lecture Notes in Computer Science, стр. 201-206. Springer, (2021)The Story of an experiment: a provenance-based semantic approach towards research reproducibility., , , , , , , , и . SWAT4LS, том 2275 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)