The promise and hype of Big Data a few years ago, led largely by a torrent of powerful marketing campaigns from organizations that stood to gain from the sales associated with the concept, led to a transformation in how research was done across many scientific disciplines. Suddenly, the practice of designing experiments to output only the most relevant data shifted to the general sentiment that researchers should collect all information, regardless of its direct relevance.
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