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The phrase "non existent data" is correct and can be used in written English.
It refers to data that does not exist or cannot be found. Example: The researcher's findings were inconclusive due to the lack of available data, as much of the information on the subject was non existent.
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Downloads are also lumped together and only start when you're in a good signal area – saving your phone's battery by having it fruitlessly searching for non-existent data connections.
Even so, regular readers will meet old friends: nutritionists who claim slender evidence or even non-existent data for improbable miracle diets; fraudsters, charlatans and dangerous deceivers who propagate harmful medical claims; and of course the homeopaths who peddle pure water as a palliative for conditions that will get better anyway or (sadly) will probably get more painful.
For landlords, the poor or non-existent data about their housing stock and resultant maintenance and repair inefficiencies.
However, detailed robustness and representativeness numbers could not be computed due to non-existent data.
There were non-existent data collection errors (e.g. skipped survey questions) compared to the paper-based option.
In this sense, databases cannot supersede non-existent data, but they can point when and mainly where attempts to get information should be driven.
Missing or non-existent data, electronic data limitations, and prohibitively large labor requirements were responsible for the return of incomplete surveys.
This study was designed as an exploratory study in a context of non-existent data on people's perceptions and attitudes towards air pollution, nor data on levels of air pollutants.
In the developing world, obtaining information down to the community level is even more problematic as there is limited GIS mapping and almost non-existent data on built environment factors.
Education opportunities were almost non existent.
He identified fake news as "false information based on non-existent or distorted data meant to deceive and manipulate the reader".
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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