This document discusses new forms of data and scientific research. It notes that more data and computation allows more people and machines to work together (Quadrant 4). This shifts research to a more data-driven paradigm, posing statistical challenges. It questions how objects in a sensemaking network are shared. New data requires new methods, objects, intermediaries, and social machines to facilitate research. In conclusion, the integration of more data, people, and machines enables new forms of collaborative and data-driven scientific research.

1. David De Roure
New Forms of Data and
Scientific Research

2. ChristineBorgman

3. 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
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4. More people
Moremachines
Quadrant 2
Big Data and
Computation
Quadrant 1
Conventional
Computation
Quadrant 4
Social
Machines
Quadrant 3
Social
Networking
Cyberinfrastructure
e-infrastructure
Science 2.0
Citizen Science
e-Science
David De Roure

5. F i r s t
BioEssays,,26(1):99–105,January2004
http://research.microsoft.com/en-us/collaboration/fourthparadigm/

6. • 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

7. INT. VERSE VERSE VERSE VERSEBRIDGEBRIDGE OUT.

The Problem
signal
understanding
Ich Fujinaga

8. seasr.org/meandreMeandre
Stephen Downie

9. Chris Lintott
Scientists
Talk
Forum
Image
Classification
data reduction
Citizen Scientists

10. 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

11. data
method

12. http://www.myexperiment.org/

13. www.researchobject.org
Jun Zhao

14. Bill Browne

16. Web as lens
Web as artefact
Web Observatories
http://www.w3.org/community/webobservatory/

17. Nigel Shadbolt et al

18. 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

19. Some Social Machines

20. 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

21. david.deroure@oerc.ox.ac.uk
www.oerc.ox.ac.uk/people/dder
www.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