David De Roure

Introduction to Big Data and its Potential for Dementia Research

• What do we mean by Big Data?

• Role in medical research

• Impact on future research

• Application to dementia research

• Challenges and issues

Overview

...the imminent flood of scientific data expected from the next generation of experiments, simulations, sensors and satellites

Source: CERN, CERN-EX-0712023, http://cdsweb.cern.ch/record/1203203

http://ww

w.slideshare.net/R

ockHealth/rock-report-big-data

1. Use URIs as names for things

2. Use HTTP URIs so that

people can look up those

names

3. When someone looks up

a URI, provide useful

information, using the

standards

4. Include links to other URIs

so that they can discover

more things

Linked Data Investment is worthwhile when the data is:• Discoverable• Reusable• Linkable

http

://w

ww

.ajtm

h.or

g/co

nten

t/86

/1/3

9.fu

ll

http://stanmed.stanford.edu/2012summer/

http://www.slideshare.net/RockHealth/rock-report-big-data

Bio

Ess

ays,

, 26

(1):

99–

105,

Jan

uary

200

4

http://research.microsoft.com/en-us/collaboration/fourthparadigm/

More people

Mor

e m

achi

nes

A Big Picture

Big DataBig Compute

Conventional Computation

The Future!

SocialNetworking

e-infrastructure

onlineR&D

data

method

Some Social Machines

Nigel Shadbolt

Notifications of new data and results,

automatic re-runs of analysis pipelines

Machines are users too

Autonomic

Curation

Self-repair

New research?

• Automation assists the scientist• Use the computational capability• Scale the capability to the problem,

not the problem to the desktop

Massachusetts General Hospital (MGH) will receive $5.4 million from the nonprofit Cure Alzheimer’s Fund, in what the fund said was the largest single private scientific grant ever invested in Alzheimer’s whole-genome sequencing focused on families with the disease.

Over the next 12 to 18 months, the Alzheimer’s Genome Project will obtain complete genomic sequences of more than 1,500 patients in families that have Alzheimer’s, and will include over 100 brain samples. The genomes of family members with Alzheimer’s will be compared to those members who have been spared the disease to identify sites in the genome that influence risk for Alzheimer’s.

http://www.genengnews.com/gen-news-highlights/mgh-wins-5-4m-grant-toward-sequencing-for-alzheimer-s-risk/81247502/

Tim Clark

Significant added value through appropriate additional data collection

Big Datamethodology

www.methodbox.org

Troublesome Threes

• 3 Ingredients– Data; Models; Expertise

• 3 Myths– Big data warehouses are the solution– Science provides the models to utilise the data– Clinicians will continue to be the main source of data

• 3 Pipelines– R&D; Quality Improvement; Payor & Public Health

Iain Buchan

Challenge conventional assumptions

Big Data in Context

or

Datasets(+ models)(searched by experts)

Data Models Expertise“sense-making network”

Iain Buchan

Closing thoughts

1. Big Data is not just a quantitative change, it’s a methodological change – using digital methods

• Use what we already have (in silos)2. Tremendous opportunity to collect additional data

with significant impact on dementia research• Surveys and social machines• Data from instrumenting care process today

3. Think sociotechnical – community matters• Method sharing, and usage adds value• Machines are users too – assistance vs automation

david.deroure@oerc.ox.ac.ukwww.oerc.ox.ac.uk/people/dder

www.scilogs.com/eresearch

@dder

Personal slide credits: Nigel Shadbolt, Tim Clark, Iain Buchan