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Towards dimensions and granularity in a unified workflow and data provenance framework

Name: Towards dimensions and granularity in a unified workflow and data provenance framework
Keywords: ddc:004, FOS: Computer and information sciences, W7 questions, Computer Science - Databases, workflow provenance, wetlab data, data provenance, workflow provenance, dimensions, granularity, W7 questions, wetlab data, data provenance, Databases (cs.DB), dimensions

descriptionPublicationkeyboard_double_arrow_right Conference object , Article , Preprint 01 Jan 2024Embargo end date: 01 Jan 2025 Germany English Publisher:Zenodo

Authors: Auge, Tanja; Genehr, Sascha; Klettke, Meike; Krüger, Frank; Schröder, Max;

doi: 10.5281/zenodo.13787564 , 10.5283/epub.77015 , 10.5281/zenodo.13787565 , 10.48550/arxiv.2504.11278

arXiv: http://arxiv.org/abs/2504.11278

Towards dimensions and granularity in a unified workflow and data provenance framework

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Abstract

Provenance information are essential for the traceability of scientific studies or experiments and thus crucial for ensuring the credibility and reproducibility of research findings. This paper discusses a comprehensive provenance framework combining the two types 1. workflow provenance, and 2. data provenance as well as their dimensions and granularity, which enables the answering of W7+1 provenance questions. We demonstrate the applicability by employing a biomedical research use case, that can be easily transferred into other scientific fields. An integration of these concepts into a unified framework enables credibility and reproducibility of the research findings.

Published at LWDA 2024

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Germany

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Keywords

ddc:004, FOS: Computer and information sciences, W7 questions, Computer Science - Databases, workflow provenance, wetlab data, data provenance, workflow provenance, dimensions, granularity, W7 questions, wetlab data, data provenance, Databases (cs.DB), dimensions, granularity, 004 Informatik

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