Science Big, Science Connected

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

technologytechnology

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 walltoo 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 WoodCarole GobleLarry LessigThe Biogang