1. Adaptive Visualisation Tools for e-Science Collaboration (ADVISES) Alistair Sutcliffe (PI) Oscar De Bruijn, Jock McNaught Sarah Thew, Colin Venters, School of Informatics, Iain Buchan NIHBI, Rob Proctor NCESS University of Manchester EPSRC E-Science Usability program May 2006- April 2009

2. 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

3. Our Domain- Epidemiology Understanding Childhood obesity Causal analysis from complex multivariate spatio- temporal evidence Multi-variate statistical analyses- differences between cohorts over time, between areas Interactive visualisation See the effects of different Analyses- in context (space, time. distribution in population, etc) Research questions

4. 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

5. Prototypes and Storyboards Gene Name rs1243 rs2684 rs5387 rs367 rs9877 rs1354 rs3243 0.001 0.0023 0.05 0.001 0.002 0.05 0.04 SNP Names LD Gene Features √ √ √ √ 3-hydroxy-2 oxypentanoate 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-2 hydroxybutanoate Chromosome overview level Gene detail (SNPs) Metabolic Pathways Population differences Mutation DNA allele Mutation Effect on Protein/ Enzyme production Zoom in to find Link to see effect on

6. PCT prototype- Epi-maps Analysis controls Interactive Map display Multiple representations Quick win prototype- more complex controls and functions added later

7. 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

8. Progress to date Requirements analysis nearly complete- research questions & workflows Storyboards and prototypes developed for 2 sub projects PCT prototype- Epi-Maps Genetic Epidemiology Visualisation (storyboards) Moving onto 2 nd version prototypes with evaluation studies Developing method and design framework for e-science visualisation Refining requirements analysis method- Question driven requirements