<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><br>
This might be of interest<div>Best wishes</div><div>Bernardo</div><div>Bangor University (Wales)</div><div><br></div><div><div class="bold" style="font-weight: bold; color: rgb(0, 0, 0); font-family: Times; font-size: medium; font-style: normal; font-variant: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); "><a name="RePEc:pen:papers:12-037" id="p29">On the Origin(s) and Development of the Term “Big Data"</a></div><table style="color: rgb(0, 0, 0); font-family: Times; font-size: medium; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); "><tbody><tr><td class="ordTextAlR100" style="text-align: right; vertical-align: top; width: 100px; ">Date:</td><td>2012-09-21</td></tr><tr><td class="ordTextAlR100" style="text-align: right; vertical-align: top; width: 100px; ">By:</td><td>Francis X. Diebold (Department of Economics, University of Pennsylvania)</td></tr><tr><td class="ordTextAlR100" style="text-align: right; vertical-align: top; width: 100px; ">URL:</td><td><a href="http://d.repec.org/n?u=RePEc:pen:papers:12-037&r=his">http://d.repec.org/n?u=RePEc:pen:papers:12-037&r=his</a></td></tr><tr><td colspan="2" class="ordPaddingTopBot" style="padding-top: 5px; padding-bottom: 5px; ">I investigate the origins of the now-ubiquitous term ”Big Data," in industry and academics, in computer science and statistics/econometrics. Credit for coining the term must be shared. In particular, John Mashey and others at Silicon Graphics produced highly relevant (unpublished, non-academic) work in the mid-1990s. The first significant academic references (independent of each other and of Silicon Graphics) appear to be Weiss and Indurkhya (1998) in computer science and Diebold (2000) in statistics /econometrics. Douglas Laney of Gartner also produced insightful work (again unpublished and non-academic) slightly later. Big Data the term is now firmly entrenched, Big Data the phenomenon continues unabated, and Big Data the discipline is emerging.</td></tr><tr><td class="ordTextAlR100" style="text-align: right; vertical-align: top; width: 100px; ">Keywords:</td><td>Massive data, computing, statistics, econometrics</td></tr></tbody></table><div><br></div></div></body></html>