Re-use or Re-invention - a Roadmap for Data Integration (Schizophrenia as a Test Case)

27 November, 06 10:00 AM - 28 November, 06 05:00 PM

e-Science Institute, 15 South College Street, Edinburgh

Organiser: Jenny Ure

Any slides or other material generated as a result of this event can be found at: www.nesc.ac.uk/action/esi/contribution.cfm?Title=709

Data Integration

Integrating heterogeneous and distributed datasets is a challenge for the e-Health and the e-Science vision, and a priority area for regional, national and international bodies supporting research in e-Health and e-Science. The event is part of a series on data quality and usability in the aggregation of genetic and clinical data in e-Health co-hosted by the e-Science Centre and Generation Scotland. (GS is a national project to create a family- and population-based infrastructure to identify the genetic basis of common complex diseases.)

Re-use or Re-invention

The event brings together seven Grid projects with a focus on schizophrenia, Alzheimers, bi-polar and/or depression with different approaches to data collection in the same domain with representatives of the P3G Biobanks consortium currently harmonizing data collection in national population studies.

Attendees will be given a real data-sharing task in the context of schizophrenia to support engagement and roundtable discussion of data integration issues in context, to share problem: solution scenarios and consider how future harmonization/calibration studies might contribute to this effort.

Issues

horizontal data integration (from different sites and sources)
vertical data integration (at different levels of granularity)

Some of the participants will also be discussing the representation of data collected over time given the long term objectives of monitoring disease progression over time, under different conditions and treatment regimes.

Format

This will be based largely on round-table workshops

harmonising data collection, coding, ontology development and infrastructure development in the same disease domain
providing a roadmap to support choices by collaborating Grid projects working in the same disease domain

Intended Outcomes

Roadmap/position paper
Task Specific Case Study
Proposals for next step

Target Audience

The workshop is aimed at clinicians, researchers, e-scientists, ontologists, epidemiologists, and system designers addressing data integration issues in general – but will be of particular relevance to those in neuroscience. We would encourage anyone with an interest in data integration to apply – not simply those with an interest in neuroscience. It was simply felt that a real task in a particular domain would draw more effectively on the real world concerns.

Programme

A full programme can be viewed at: http://www.nesc.ac.uk/esi/events/709/programme.cfm

This event is provisionally scheduled to start at 10:00 on Monday 27 November 2006 and close at 17:00 on Tuesday 28 November 2006.

Registration

Registration for this event is now closed. To enquire about an application or to cancel a previous application please contact NeSC Administration.

Important Dates

12 Sep - Registration Opens
20 Nov - Registration Deadline
20 Nov - Date we will respond to your application by (Please note this is the latest date we will respond to your application. It is normal policy for us to respond within 5 working days where possible.)
27 Nov - Event Starts at 10:00hrs

Enquiries

Enquiries should be made directly to our Conference Administrator.

¹The Mental Health Scoping Study Report http://www.mrc.ac.uk/pdf-mh_scoping_study_final.pdf in 2005 highlights a lack of integrative studies in genomics, neuro-imaging, cognitive neuroscience, developmental neurobiology and psychobiosocial models and the possibilities for significant progress in researching the pathogenesis of mental disorders, clinical management and training.

http://www.esi.ac.uk

This event is hosted by eSI in assocaition with the following organisations:
Generation Scotland (http://www.generationscotland.org)

The e-Science Institute