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Oxford e-Science Centre
• Distributed virtual research centre
• Domain, Computer Science and IT services
Oxford Interdisciplinary e-Research Centre
• Physical research centre with Vice Chancellor support
for start-up
• Sited outside university structure to be truly
interdisciplinary
Oxford e-Research Centre
• Physical research centre with new building
• Part of the regular university
• Research only – no student admissions i.e. teaching
History
Innovative
digital methods
transforming
research
A collaborative
research hub
for Digital
Oxford
Oxford Centre for
Tropical Forests
Research Methodology
Research
Problem
Application
modelled
Create or
adapt
technology
Disseminate
and reuse
Key areas of activity:
• Data capture & curation
• Database development
• Data publication
• Data provenance
• Open, community
ontologies and
standards
• Semantic web
• Software development
• Training
Communities we work with/for:
• Curators
• Data producers
• Data consumers
• Developers
• Pre-competitive informatics
initiative
• Policy makers
• Publishers
• Researchers
• Service providers
• Standardization initiatives
Our network includes:
Big Data
Organisation
VisualisationAnalysis
www.oerc.ox.ac.uk
Energy and Environmental Informatics
Advanced e-Infrastructure and Cloud Computing
david.wallom@oerc.ox.ac.uk
Scientific Computing
Wes.armour@oerc.ox.ac.uk
Life and Bio Sciences Data Management
susanna-assunta.sansone@oerc.ox.ac.uk
Visual Computing
min.chen@oerc.ox.ac.uk
Digital Humanities and Social Sciences
david.deroure@oerc.ox.ac.uk
Computational Linguistics
janet.pierrehumbert@oerc.ox.ac.uk

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The University of Oxford e-Research Centre

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  • 2. Oxford e-Science Centre • Distributed virtual research centre • Domain, Computer Science and IT services Oxford Interdisciplinary e-Research Centre • Physical research centre with Vice Chancellor support for start-up • Sited outside university structure to be truly interdisciplinary Oxford e-Research Centre • Physical research centre with new building • Part of the regular university • Research only – no student admissions i.e. teaching History
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  • 12. Key areas of activity: • Data capture & curation • Database development • Data publication • Data provenance • Open, community ontologies and standards • Semantic web • Software development • Training Communities we work with/for: • Curators • Data producers • Data consumers • Developers • Pre-competitive informatics initiative • Policy makers • Publishers • Researchers • Service providers • Standardization initiatives Our network includes:
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