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ENVRI and the Grid. Wouter Los w.los@uva.nl. ESFRI Environmental Research Infrastructures. The laboratory of environmental research infrastructures Deep Earth, land and sea, the atmosphere Living and dead environments. Distributed measurements and monitoring
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ENVRI and the Grid Wouter Los w.los@uva.nl
The laboratory of environmental research infrastructures Deep Earth, land and sea, the atmosphere Living and dead environments
Distributed measurements and monitoring • observatories, sensors, radars, human eyes . . . • physical, chemical and biological parameters Laboratories and experimental facilities • in fixed monitoring stations • on research vehicles, ships, floats and buoys • from aircraft and satellites A variety of data • complex and sometimes fuzzy • heterogeneous and distributed • primary and processed data Analytical and modeling platforms • data exchange and integration • high performance computing and Grid services • e-Laboratories
Distributed research infrastructures Data grid monitoring sites sensors databases Soft/Middleware grid Computing grid Part of an international infrastructure grid ENVRI cooperation
Objectives • Solutions and guidelines for the common needs of the environmental ESFRI projects. • Enable multidisciplinary scientists to access, study and correlate data from multiple domains for “system level” research.
Andrew D. Barton et al, Patterns of Diversity in Marine Phytoplankton, Science online 25 Feb 2010
CO2 and Eco-systems Geo- Physical process Extendable use cases Use cases RI 1 RI 2 RI 3 RI 4s Research Infrastructures Processed data Raw data Sensors/ observations
Generic Requirements • Common procedures for individual users to cooperate in Virtual Organisations, while working from different countries • Personalized access rights for not NGI/institution-based users. (Many users in env. sciences are not NGI connected) • Data infrastructure and management, across domain specific ESFRI projects
Operation and usability • Management of complex data records (fuzzy data, data calibration, data validation, data transformation, data fusion, privacy issues) • Fast access to and retrieval of selected distributed and large heterogeneous data sets and tools • Remote operation of smart/intelligent observation/sensor networks • Development of real-time instrument (i.e. aircraft/ground, oceanic floats & fixed observatories/ground) data links
Services for environmental facilities • Repositories for data, workflows, and workflow results; repository for tracking provenance and citation of data and workflows • Software libraries for supporting capabilities (data format conversions, pre-processing, data transformation, data post processing • Interoperability (of heterogeneous data and tools), semantic interoperability services, retrieval of ontologies • Super fast analysis and modeling services; (distributed) computation
Application development and community development • Capabilities for user involvement in open-source data generation + software development (workbenches) • Facilitating workflow development • Ability to view, visualize, explore discovered data and software resources, with reporting of usability and interoperability (and improvement suggestions
Thank you http://envri.eu/