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The Limits of Big Data in Science

Biotechnology plants its analytic head deep into the cloud, deploying algorithms to derive meaning from a flood of information. But what’s the difference between “big data” and simply having lots of information? Sometimes we get enamored with the data itself and forget that it’s not just big data that’s important but meaningful data—data that we can accept or reject hypotheses with and make a significant step forward in our knowledge about the science.

Read the full article at Scientific American… 

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