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But what of the very term data itself?
While short term data points are not without value, piecing together long term data is a laborious and error-prone process for the investor.
Even when extensometer are available, there is not enough long term data to calibrate models [4].
I coined the term data fiction to describe this phenomenon.
When Kaggle started in 2010, the term "data science" wasn't common yet.
Reassuringly, long term data following community wide ITN distribution show sustained benefits at a population level.
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The long-term data tells a sombre story.
However, where long-term data is available, it does point to systematic failures in drug policies.
Are recordable CD's a more permanent solution for long-term data archives?
In the Maldives, the paucity of long-term data makes it particularly tough.
Both statements are equally wrong, based on cherry picking noisy short-term data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com