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Data for data's sake is not our call.
The data's not perfect.
Well, when data's stolen, that's a huge problem for companies.
And there's still the question of the data's predictive ability.
It's almost seen as a given now that all data's released".
"Data's coming thick and fast," Hutchinson said.
They are responsible for the data's integrity.
The data's got to be a bit flaky, hasn't it?
Who should be responsible for the data's security?
A bevvy of cases already underscore the data's usefulness.
But he soon became dissatisfied with the data's predictive power.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com