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data principle: is the top level of data governance framework.
In the presented data governance framework, data provenance is a part of metadata and its management.
Developing an interoperable and extensible data governance framework for predictive toxicology is crucial and highly required.
However, establishing such data governance framework is not an easy task.
"Adrenaline was built using a comprehensive data governance framework to ensure data security and consumer privacy," he said.
In the next section, the main concepts and components of a proposed data governance framework are introduced and discussed.
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This helps to bridge the significant gap in toxicology data quality assessment and hopefully will attract more attention to develop and refine data governance frameworks for predictive toxicology.
In addition to this, some different general data governance frameworks [1, 5, 11, 12] have been proposed by different organisations and researchers with an attempt to provide guidance in designing and developing effective data governance approaches.
Role-based access control grants individuals various levels of information access depending on clinical roles, in order to comply with statutory data protection legislation and the NHS information governance framework.
More specifically, in the context of data governance, the framework which has been proposed in the previous section sets the boundary for discussion.
Designing and developing a novel data and model governance framework is an important piece of future work.
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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