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

1. Whither “big data”?
Richard J. Bookman, Ph.D.
Miller School of Medicine
University of Miami
rbookman@miami.edu
@rbookman
AAMC 2014 GREAT/GRAND Meeting
Fort Worth, Tx
September 19, 2014

2. 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 Hindsight
Duke University

4. Gartner Hype Cycle Update, August 2014
http://www.gartner.com/newsroom/id/2819918

5. The 3 V’s of Big Data
Doug Laney, Gartner, 2001;
http://www.gi.de/nc/service/informatiklexikon/detailansicht/article/big-data/druckversion.html

6. The continued expansion
of the digital universe
creates unprecedented
opportunities and pitfalls
for biomedical research.

7. p53
>70,000 publications
>$75 million/year from NIH for “p53” + “kinase”
>200 NIH awards/year

8. http://dx.doi.org/10.1145/2623330.2623667

10. "Those who ignore statistics are condemned to
reinvent it."
Brad Efron
Statistics Department
Stanford University
1997 lecture
Quoted in: DOI: 10.1111/j.1751-5823.2001.tb00474.x

11. 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?

12. Building the digital research enterprise
and taking scientific advantage of
big data
is hard, slow, and expensive
and…
you probably don’t have the people you need.