Powell Center Informatics and IT Powell Center WGs
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Powell Center Informatics and IT • Powell Center WGs benefit from wide range of USGS and partner IT and informatics expertise: – – – WG PI, Data Lead interviews with FORT IT checklist Data Management Plan and support High Performance Computing hardware and expertise Collaboration tools—my. USGS Data storage, citation repositories—Science. Base, Data. ONE • If need is beyond current capabilities, engage other USGS resources or partners to assist
High Performance Computing (HPC) • Many Powell WGs build synthesis projects around large datasets, computationally intensive analyses • Powell IT staff provide a suite of resources—and support—to meet WG needs – WGs assisted through HPC process, connected with appropriate scale of computing – In one example decreased processing time from 312 days to 21 hours – Has allowed WGs to greatly TITAN Supercomputer at Oak Ridge National Lab increase #, range of simulations Image © ORNL possible in models
HPC and Big Data • As Powell Center WG data increases in complexity and breadth, enters realm of Big Data • Highlighted during 2012 White House Big Data initiative at NSF • Both strong thematic expertise (with all data involved in the synthesis project) and data management expertise required
WG IT Example: Global Croplands • The Global Croplands group uses Science. Base to ingest and organize models, model outputs, and processed input datasets, and then distributes these items from a custom working groupcontrolled content management system. • Served as impetus for developing HPC computing clusters, now being used by multiple WGs
WG IT Example: Erionite and Human Health • The USGS Minerals Resource group developed multiple related geospatial datasets. • These data are distributed to Human Health Assessment professional through a secure mapper, hosted by Science. Base and served through the Powell Center site.
WG IT Example: Hydraulic Fracturing • As the hydrofrac community discovers references, they are using Science. Base to further develop reference metadata. These annotated references are then distributed through a custom portal, creating a comprehensive citation database for the community.
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