Computational InfrastructureStrategic visionIssues-1Issues-2UCLA/UCComputational InfrastructureStrategic vision• Support– high performance computing– end to end computing services– data as infrastructure• Content, curation, trust, provenance, peer review publishing• Life cycle of data, from conception to curationIssues-1• Data as infrastructure– Competitiveness: funding agencies requiring data mgt plans– Local capacity to use/reuse data• User interavces• Computational support• Desktop/palmtop svcs• Value added svcs, eg 24/7 helpdesk• Access, discoveryIssues-2• Who owns the problem?– Data unites and divides scholars– Funding organized by administrative entity, not by function or problem– Continuum of capacity: Excel to exoscale– Short term approaches threaten long term solution• Local leadership vs distributed access– Local people, distant servers– VisibilityUCLA/UC• UCLA leadership capacity in data curation• Coordination with eScholarshiprepository• Critical mass of content• Position UC and UCLA in DC for competitive