NCRM phase 2
Harnessing advances in digital
technology and practice to
achieve world-class social
research with maximum impact
d NCRM phase 3
Big Data and
David De Roure
F i r s t
• 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
• 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.
INT. VERSE VERSE VERSE VERSEBRIDGEBRIDGE OUT.
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?
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
Four take-home messages:
1. Quadrant 4 = more machines + more people
2. Paradigm shift to data-driven research:
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
Thanks to: Christine Borgman, Carole Goble, Ichiro Fujinaga, Stephen
Downie, Chris Lintott, Iain Buchan, Jun Zhao, William Browne