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Discover Ludwig'data refining' is an acceptable phrase in written English.
It refers to the process of improving a collection of data by refining, sorting, or cutting out unnecessary information. For example, "The data scientist spent months refining the data set to make sure it was as accurate as possible."
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And it will continue to refine and hone the operation: recruiting more volunteers, collecting more data, refining the methods of communication, using social media more than traditional media.
This betrays a complete misunderstanding of science, which is not magic: it is a long-term, cumulative process of testing hypotheses against additional data, refining them, and arriving at ever improving knowledge.
We tried to provide a synthetic overview of the ecotoxicological effects of ENPs from existing data, refining papers on the basis of cross-cutting selection criteria and supporting a "mind the gap" approach stressing on missing data for hazard and risk assessment.
5) Defining and naming themes: names for each theme were then agreed and CR revisited the data refining themes.
Category 0300-Acute Minor, Age 6+ (N=26 909; 11.8%) had a CV =139% and 6.6% of outliers and showed significant differences before and after data refining.
This involved identifying themes and sub themes in the data, refining and reducing these initial themes, building hierarchies and linking themes into a broader theoretical framework [ 42].
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She is, after all, familiar with the collaborative process: seek data, refine data, question data, argue data, come to some sort of consensus.
Regolith temperatures can be determined for lunar landscapes as defined by laser altimeter remote sensing data refined with local crater and boulder models.
Big data refines our options for us.
I have also pointed out that evolution has decades of experimental data, refined to adapt to new evidence and is solid and does not need to prove itself.
This enables the legal function and the entire enterprise to drive value in new ways; promote efficiency; harness technology to mine data, refine process and support training; and move with the speed required to capitalize on opportunity.
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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