SlideShare a Scribd company logo
Deepak Singh, Ph.D.
 
 
 
 
Picture via  Eole  under a CC-BY-NC-SA license
?
Via  Reavel  under a CC-BY-NC-ND license
biz dev manager
 
 
resizable compute capacity
scalable web sites
number crunching
but
life science industry
software
informatics
scientific programmer
product manager
strategist
 
 
 
opinions
lots of opinions
 
career choices
software development
informatics
computing
data
open  data
http://mndoci.com
http://c2cbio.com  or on iTunes
http://bioscreencast.com
By  jasarcadia  under a CC-BY-NC-ND license
A  meme  (pronounced /miːm/) consists of any idea or behavior that can pass from one person to another by learning or imitation
 
big  data
collective intelligence
the new science
By  ~Prescott  under a CC-BY-NC license
datasets
many datasets
PFAM GENBANK ENSEMBL PDB Many Others
 
manageable
download
 
 
 
 
data management  is not  data storage
smart
 
context
Via   Nature Reviews Cancer
technology
technology ? ? ? ?
technology technology technology technology
Back of the room
listening
toxicologists
 
 
experiment design
holistic
systems biology
the s*&t hits the fan
Image courtesy Matt Wood
 
 
 
genome #1
$3 billion
15 years
 
1000  genomes
http://www.1000genomes.org/
By  bitterlysweet  under a CC-BY-NC-ND license
75 TB / week
600 GB – 6 TB / run
200 TB drive
schema
fit on a wall too big to
implications
Via  Barack Obama  under a CC-BY-NC-SA license
 
utilization
capacity planning
data availability
data access
collaboration
computation
typical informatics workflow
 
 
 
 
 
distribute everything
distributed data
distributed computing
Via  bionicteaching  under a CC-BY license
Via  bionicteaching  under a CC-BY license
services everywhere
data services
application services
api
available everywhere
available all the time
 
 
 
 
 
 
 
 
sensors
adverse event reporting
research streaming
 
computing everywhere
Via  Laughing Squid  under a CC-BY-NC-ND license
 
 
collective intelligence  is a shared or group intelligence that emerges from the collaboration and competition of many individuals.
 
networked future of science
 
protective
A biologist would rather share their toothbrush than their (gene) names -- Mike Ashburner (Cambridge)
 
 
wisdom
look elsewhere
Wherever you work most of the smart people are somewhere else -- Bill Joy
TIMTOWDI
data
data finds the data Source:  Jeff Jonas
data finds the data, then people find people Source:  Jon  Udell
important
world wide web
giant global graph
 
search
traverse link graph
people
 
present
future
data in context
linked data
the artist formerly known as
the semantic web
 
entity extraction
 
follow the graph
let the data find the data
and then
people  will  find the people
information overload
 
filter failure
human trust networks
many ways
scientific social networks
 
why?
put people first
 
communities around data
http://ecolicommunity.org
http://ebird.org/content/ebird/
micro-communities
 
 
 
little segue
“ Bursty Work”
loosely distributed collaborations
computational problems
 
 
 
back on track
I define  Web 2.0  as the design of systems that harness network effects to get better the more people use them, or more colloquially, as “ harnessing collective intelligence .” This includes explicit network-enabled collaboration, to be sure, but it should encompass every way that people connected to a network create synergistic effects -- Tim O’Reilly
web as platform
data driven platform
people driven platform
 
 
 
bayesian filter
find relevant information
huge  amounts of data
architect for innovation
google visualization api
structured data
multiple sources
connected to the web
platform
create
share
re-use
visualizations
create
share
re-use
create
share
re-use
 
 
mashups
 
 
collect
analyze
remix
repurpose
only way
open data
obey web standards
xml
json
rdf
all this stuff
new models
research
collaboration
business
exciting times
Via  The Opportunity Agenda  under a CC-BY-NC-SA license
the door is open
take the step
Acknowledgements Matt Wood Carole Goble Larry Lessig The Biogang
 

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