adaptive visualisation tools for e-science collaboration (advises) alistair sutcliffe (pi) oscar de...
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Adaptive Visualisation Tools for e-Science Collaboration (ADVISES)
Alistair Sutcliffe (PI)
Oscar De Bruijn, Jock McNaughtSarah Thew, Colin Venters,
School of Informatics,
Iain BuchanNIHBI,
Rob ProctorNCESS
University of Manchester
EPSRC E-Science Usability programMay 2006- April 2009
Objectives
• To analyse users’ research methods and questions using sub-language – research questions drive workflow
• To develop a prototype, configurable visualisation-data analysis system driven by research questions
• To evaluate the prototype with researchers in the medical e-science community.
• To develop a user-centred requirements analysis and design method for e-science.
The Vision-
Research Questions are the E-science interface
Interactive Visualisation allows you to see the effect of your question AND you can interpret the results in context
Our Domain- Epidemiology
UnderstandingChildhoodobesity
Causal analysisfrom complexmultivariatespatio- temporalevidence
Multi-variate statistical analyses- differences between cohortsover time, between areas
Interactivevisualisation
See the effects of differentAnalyses- in context (space, time.distribution in population, etc)
Researchquestions
Requirements Analysis- Approach
• Ethnographic studies- observing research practices
• Interviews for background domain knowledge
• Language analysis- analysing published papers and recorded conversations (Research Questions)
• Scenarios and Storyboards- early designs for-Primary Care Trusts- visualisation of epidemiology of childhood obesity - Genetic Epidemiology- visualisations linking population
level genetic markers to disease profiles and metabolic pathways
• Requirements workshops and demonstrations
Prototypes and Storyboards
Gene Name
rs1243
rs2684
rs5387
rs367rs9877
rs1354
rs3243
0.001
0.0023
0.05
0.0010.002
0.05
0.04
SN
PN
ames
LDG
eneF
eatures
√√
√√
3-hydroxy-2oxypentanoate
2.3.4.2
2,3 Dihydro 3 methypentanoate
6.2.34.6
Pathway ID - 124463
6.2.34.6: FRA1 – RS1234 p = 0.012
2-Aceto-2hydroxybutanoate
Chromosome overview level
Gene detail (SNPs)
Metabolic Pathways
Populationdifferences
MutationDNA allele
MutationEffect on Protein/Enzymeproduction
Zoom in tofind
Link to seeeffect on
PCT prototype- Epi-maps
Analysiscontrols
InteractiveMap display
Multiple representations
Quick win prototype- more complex controls and functions added later
Problems encountered(and lessons learned)
• Limited user/domain expert availability-
- diversify use base
- engage users with storyboards and prototypes early
- go with the flow- follow your users’ enthusiasm
• Understanding the domain– background reading– appropriate expertise on the team
• Prioritising Requirements
- cost/benefit analysis for trade offs
- look for quick wins for user engagement
Progress to date
• Requirements analysis nearly complete- research questions & workflows
• Storyboards and prototypes developed for 2 sub projectsPCT prototype- Epi-MapsGenetic Epidemiology Visualisation (storyboards)
• Moving onto 2nd version prototypes with evaluation studies
• Developing method and design framework for e-science visualisation
• Refining requirements analysis method- Question driven requirements