David De Roure

New Forms of Data andScientific Research

Chr

istin

e B

orgm

an

DAMES

LifeGuide

eStat

PolicyGrid

Obesity e-Lab

DReSS

OeSS

Genesis

Genesis

Rural communities

Creative Industries

Social Inclusion

Entertainment

Healthcare

highwire

Horizon

Media

Finance

Web Science

Current Nodes

e-Social Science

DE Hubs

DE DTCs

GeoVUE

MoSeS

MiMeG

CQeSS

HUB

NeISS

ncrm

m

m

m m

mm

m

mm

NCRM phase 2

Harnessing advances in digital technology and practice to achieve world-class social

research with maximum impact

www.digitalsocialresearch.net

ds

d NCRM phase 3

Demonstrators& Sustainability

d

ss

s

d

m

More people

Mor

e m

achi

nes

Quadrant 2

Big Data andComputation

Quadrant 1

ConventionalComputation

Quadrant 4

Social

Machines

Quadrant 3

SocialNetworking

Cyberinfrastructuree-infrastructure

Science 2.0Citizen Science

e-Scien

ce

David De Roure

F i r s t

Bio

Ess

ays,

, 26

(1):

99–

105,

Jan

uary

200

4

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

• Paul writes workflows for identifying biological pathways implicated in resistance to Trypanosomiasis in cattle

• Paul meets Jo who is investigating Whipworm in mouse.

• Jo reuses one of Paul’s workflow without change.

• Jo identifies the biological pathways involved in sex dependence in the mouse model, believed to be involved in the ability of mice to expel the parasite.

• Previously a manual two year study by Jo had failed to do this.

Computational Workflows

Carole Goble

The Problem

signal

understanding

Ich Fujinaga

seasr.org/meandreMeandre

Stephen Downie

Chris Lintott

Scientists

TalkForum

ImageClassification

data reduction

Citizen Scientists

The challenge is to foster the co-constituted socio-technical system on the right i.e. a computationally-enabled sense-making network of expertise, data, models and narratives.

Big data elephant versus sense-making network?

Iain Buchan

data

method

http://www.myexperiment.org/

www.researchobject.org

Jun Zhao

Bill Browne

Web as lens

Web as artefact

Web as

infrastructure

Web Observatorieshttp://www.w3.org/community/webobservatory/

Nigel Shadbolt et al

Real life is and must be full of all kinds of social constraint – the very processes from which society arises. Computers can help if we use them to create abstract social machines on the Web: processes in which the people do the creative work and the machine does the administration… The stage is set for an evolutionary growth of new social engines. Berners-Lee, Weaving the Web, 1999

The Order of Social Machines

Some Social Machines

Four take-home messages:

1. Quadrant 4 = more machines + more people

2. Paradigm shift to data-driven research: statistical challenges

3. What are the objects in the sensemaking network and how are they shared?

4. New forms of data => New methods, new objects, new intermediaries in the data ecosystem, and new Social Machines

Conclusion

david.deroure@oerc.ox.ac.ukwww.oerc.ox.ac.uk/people/dderwww.scilogs.com/eresearch@dder

Thanks to: Christine Borgman, Carole Goble, Ichiro Fujinaga, Stephen Downie, Chris Lintott, Iain Buchan, Jun Zhao, William Browne

http://www.slideshare.net/davidderoure/new-forms-of-data-and-scientific-research