Welcome
to Day 3
in the
Big Data
House
Today’s theme
• It's not just the scale and volume of data that
characterises data-intensive research, but also
the complexity within and across datasets
• May be in one discipline or across many
• Some of today’s talks come from Social
Science...
PolicyGrid
m
Current Nodes
Rural communities
DE Hubs
DAMES
Social Inclusion
Highwire NeISS
CQeSS Genesis
m
MoSeS
Original Nodes
Obesity e-Lab
DE DTCs
m
HUB
DReSS Horizon
Creative Industries
Finance
mmm
MiMeG HealthcareGenesis Media
OeSS GeoVUE
m eStat
Entertainment
m
m
LifeGuide
ncrm
Web Science
NCRM phase 2
• 09:00
• 09:30
• 10:00
• 10:30
Mario Caccamo, BBSRC TGAC Centre
Big Data Bioinformatics
Jason Swedlow, University of Dundee, Wellcome
Trust Centre for Gene Regulation and Expression
The Open Microscopy Environment: Informatics
and Quantitative Analysis for Biological
Microscopy, HCAs, and Image Data Repositories
Paul Lambert, Stirling University
Handling social science data: Challenges and
responses
Coffee break
• 11:00
• 11:30
• 12:00
• 12:30
Chris Williams, School of Informatics,
University of Edinburgh
The complexity dimension in data analysis
Mark Birkin, School of Geography,
University of Leeds
Spatial microsimulation for city modelling, social
forecasting and urban policy analysis
Hugh Glaser, Seme4 Ltd
Linked Data: Making things more accessible
Jim Austin, Department of Computing Science,
University of York
Using search for engineering diagnostics and
prognostics
Afternoon Schedule
•
•
•
•
2.15 plenary to identify breakouts
2.30 breakouts (coffee available throughout)
4pm poster session (take coffee up to Atrium)
4.30 report back from breakouts
1. Arts, Humanities and Qualitative
Data Intensive Research
• The talks have been quite focused on
quantitative research, but what about Data
Intensive Research using other forms of data e.g. text, audio, video, transcriptions of indepth interviews?
• Is there a "computational turn" set to change
research practice and methods in these
disciplines?
• Possible leader: Sheila Anderson
2. New forms of Social Sciences Data
• There is a growing movement that argues that social
science research could better be based on the
growing body of "social transactional" and "naturally
occurring" data sources; e.g. supermarket loyalty
cards, administrative records, traffic cameras,
facebook, smart electricity meters - including
realtime data.
• Which data intensive research methods need to be
used or developed to successfully harnessing this
data deluge for social research that has impact?
• Possible lead: Mark Birkin
3. What were you thinking when
Hugh was talking?
• a.k.a. “Look Hugh’s Talking”
• When Hugh Glaser presented Linked Data,
were you thinking "this is interesting, it solves
a problem for me" (if so what?) or were you
thinking "this isn't going to work for me?" (if
so why not?)
• Possible lead: Hugh Glaser 
4. What to tell your government
• You are about to meet someone in the
ministry that funds research and higher
education and you have the opportunity to
tell them in a few succinct phrases how they
should support data-intensive research in the
next funding round.
• You can have at most 5 priority items if you
want to be taken seriously; what are they?
• Possible lead: Carole Goble (need rapporteur)
5. Biological and Image Data
• Following on today's talks and integrating with
the wide variety of biomedical challenges and
strategies.
• Possible lead: Jano van Hemert
6. Analysing time series data
• Several of today's talks have discussed the
analysis of time series data...
7. Programming Paradigms
• The aim of this session will be to take a midworkshop stock of how the exchanges,
discussions and proceedings so far, have
influenced our perception of Programming
Paradigms for data-intensive research.
• Many of the issues laid out in Geoffrey Fox's
opening talk will be revisited.
• Possible leader: Shantenu Jha
Spare breakouts from yesterday
•
•
•
•
Look: a wheel!
David and Goliath
Your blessing, my curse
Who's chasing who?
• See...
http://wiki.esi.ac.uk/Wednesday_DIR_Breakouts
Breakout Rooms
1. Arts, Humanities and Qualitative Data Intensive
Research – Swanson Rm
2. New forms of Social Sciences Data – Cramond Rm
3. Linked Data (Look Hugh’s Talking) – Circulation area
outside Cramond Rm
4. What to tell your government - Atrium
5. Biological and Image Data – Newhaven Lecture Rm
6. Analysing time series data
7. Programming paradigms – Chapterhouse
Afternoon Schedule Revisited
•
•
•
•
2.15 plenary to identify breakouts
2.30 breakouts (coffee available throughout)
4pm poster session (take coffee up to Atrium)
4.30 report back from breakouts
Organise your own meals, then...
• 9pm The Malt Shovel
– 11-15 Cockburn Street, EH1 1BP
The Malt Shovel
11-15 Cockburn St
EH1 1BP
Carlton
Radisson
Meeting for
drinks at the
Malt Shovel
from 9pm