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Discover Ludwig"data provenance" is a correct and usable phrase in written English.
It refers to the tracking of the history and origin of data. For example: "The new software was designed to improve data provenance, so that users can easily trace where their data came from."
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By aligning data control with data provenance, it would respect a form of data ownership rights.
Metadata documenting data provenance can play a crucial role in overcoming these challenges4.
Her research focuses on data provenance, causality, explanations, data quality, and algorithmic fairness.
Examples of such features include data provenance, work sharing, and interactive computational steering.
Our knowledge of the data provenance may help the machines understand their limits.
This paper discusses seven main challenges that influence data provenance implementation in IoT systems.
Manage enormous volumes of data using scalable, distributed solutions to secure data stores and enable efficient audits and data provenance.
Data provenance is the history of an item of data from the point of its creation to its present state.
Our approach is based on capturing one-level data provenance at each transformation when the workflow is run initially.
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Work with new investigators to establish an effective lab culture, including training for lab staff in data management/data provenance principles.
AVOCADO: Visualization of Workflow-Derived Data PReproducible Biomedical Researchdical Reproducible Biomedical Research
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com