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Although it seems that big data makes it possible for us to collect more data to find more useful information, the truth is that more data do not necessarily mean more useful information.
What more data do we need?
Although the correlation between circulating and tissue miRNA is still not clear, increasingly more data do not support the hypothesis that circulating miRNA levels reflect the specific changes that occur in the cardiac tissue, as miRNAs could also be derived from immune cells.
Similar(56)
"Just because someone consumes more data doesn't mean they drive more cost".
Amassing more data does not necessarily imply the acquisition of better information.
"More data does not mean better data," said William J. Perry, the former defense secretary who was co-chairman of the panel, with Charles M. Vest, president of the National Academy of Engineering.
"Just getting more and more data doesn't necessarily mean we're getting relevance," says Wayne Berkowitz, the Sydney-based publisher of Superfuture, the pioneering curated travel site.
Unfortunately, this software, although able to cope with more data, does not offer the same graphic quality as CityEngine.
While data does give you information, the fallacy of big data is that more data doesn't mean you will get "proportionately" more information.
The data which collected from user's smartphone have various situations such as the data came from multiple sensors and multiple source information which sometimes one or more data does not available.
More data does not necessarily improve predictions over those made using smaller datasets as data must be relevant to the question at hand (Monteith et al. 2015; Guszcza and Richardson 2014).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com