The Red Herring of Big Data

Brian Croxall, Mar 13, 2014
Commentary by Stephen Downes

I can summarize the centrakl argument about big data offered in this essay very easily:

  • Data need interpretation
  • Data don’t have to be big.
  • Data aren’t always the answer

But this doesn't really do it justice. It's not simply that data need interpretation, it is rather that sometimes the data suggest an interpretation, sometimes we bring our own interpretation to the party, and sometimes there just isn't an interpretaion to be had. But that said, "computer-assisted pattern recognition and interpretation is possible on many different levels." In particular, Brian Croxall consider two approaches: maps and graphs.

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