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Data are valuable: without data, we know nothing.
Embedded in these big data are valuable information and knowledge.
"Healthcare data are valuable because medical records can be used to commit several types of fraudulent activities or identity theft.
These mole fraction data are valuable for inference of kinetics and testing of reaction mechanisms.
As Jim Gray used to say, astronomy data are valuable precisely because they have no commercial value.
Yet, because of their length and continuity these data are valuable for future research.
Detailed anthropometric data are valuable in making well-informed and responsible design decisions.
Such short time-interval data are valuable in designing and operating the solar energy facility.
I agree that economic survey data are valuable, and have used them many times in my own research.
The estimated actual irrigation amount, together with groundwater level data, are valuable to obtain a further understanding on groundwater depletion.
These data are valuable in the management of aneurysms, but are largely lacking from the Kenyan population.
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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