Data Management and Assimilation (DMA)

Develop an Agile Data Ecosystem to enable investigations and simulations of genome through watershed scale processes.

Objectives

Develop Data Management and Assimilation (DMA) Ecosystem to enable integration and synthesis of diverse and disparate field, laboratory, and simulation datasets across different semantic, spatial, and temporal scales through:

  • Development of user-centric and unified capture, curation, and brokering system that can handle diverse, multi-scale SFA datasets
  • Development of workflow driven data assimilation and analysis capabilities
  • Development of semantic knowledge discovery tools

Task Categories

  • Data capture and curation
  • Brokering cyberinfrastructure development
  • SFA 2.0 Dashboard development
  • Model-database intercommunication

Team

  • Deb Agarwal
  • Roelof Veersteg (PNNL) (Subsurface Insights)
  • Charuleka Varadharajan
  • Boris Faybishenko
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