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Introductory remarks for the Big Data in Biomedical Research and Training session at the annual meeting of the AAMC GREAT & GRAND groups. Fort Worth, Texas, 9/19/2014
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Whither “big data”?
Richard J. Bookman, Ph.D.Miller School of Medicine
University of Miamirbookman@miami.edu
@rbookman
AAMC 2014 GREAT/GRAND MeetingFort Worth, Tx
September 19, 2014
Big data is like teen sex. Everybody is talking about it, everyone thinks everyone else is doing it, so everyone claims they are doing it.
Dan Ariely, Center for Advanced HindsightDuke University
http://www.gartner.com/newsroom/id/2819918
Gartner Hype Cycle Update, August 2014
The 3 V’s of Big Data
Doug Laney, Gartner, 2001; http://www.gi.de/nc/service/informatiklexikon/detailansicht/article/big-data/druckversion.html
The continued expansion of the digital universe creates unprecedented
opportunities and pitfalls for biomedical research.
p53>70,000 publications
>$75 million/year from NIH for “p53” + “kinase”
>200 NIH awards/year
http://dx.doi.org/10.1145/2623330.2623667
"Those who ignore statistics are condemned to reinvent it."
Brad EfronStatistics DepartmentStanford University1997 lecture
Quoted in: DOI: 10.1111/j.1751-5823.2001.tb00474.x
Some Q’s to consider
• What are the big data opportunities for the research at my institution? (EMR, ‘Omics, games,?)
• What infrastructure do we need to do the work?
• Who do I need on the team to take advantage of this opportunity? What skills?
Building the digital research enterprise and taking scientific advantage of big data
is hard, slow, and expensiveand…
you probably don’t have the people you need.
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