NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 1 GEON: The Geosciences Network Chaitan Baru San Diego Supercomputer Center (SDSC) California Institute for Telecommunications and Information Technology (Calit2)

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 2 Data Management DATA COLLECTION DATA PUBLICATION DATA ACCESS DATA ANALYSIS GEON

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 3 GEON Background See website: and portalwww.geongrid.org Began as a collaboration among ~15 institutions Goals Provide a Cyberinfrastructure-based Interpretive Environment for Earth Science research, e.g. for data acquired in EarthScope Support for data discovery A platform for data integration Train students and geoscience researchers in state-of-the-art and advanced IT concepts, i.e. technical aspects of geoinformatics Two-Tier approach Develop working systems, while also doing research and building advanced prototypes The focus this year is on registering content and tools at portal and providing a number of “reference” datasets The end goal is to provide science infrastructure. Support for both “hosted” and “non-hosted” data

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 4 Topics for Today LIDAR data management and processing in GEON Courtesy: Prof. Ramon Arrowsmith, Arizona State Data Registration Linkage with other geoinformatics, CI projects Won’t cover details of grid computing, visualization, data integration, …

5 ~1.2 billion data points Example Data Set: Northern San Andreas fault and associated marine terraces. Flown February 2003 Funded by NASA in collaboration w/ USGS. ~418 Square Kilometers

6 ~1.1 million data points To produce this DEM

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19 Lidar Processing Workflow: Using Kepler Subset Analyze moveprocess Visualize moverenderdisplay Arizona Cluster NFS Mounted Disk IBM DB2 Datastar NFS Mounted Disk d1 d2 (grid file) d2 d1 iView3D/ Browser Create Scene file Fledermaus (or ASU OpenGL tool LViz) sd

20 Data Set# of pointsSchemaSource Northern San Andreas (NSAF) 1.2 billion 10 column (x,y,z + attributes) NASA / USGS West Rainier ~800 million – 1 billion (est.) 10 column (x,y,z + attributes) Southern SAF Laser Scan ?? Likely to be 5+ billion ?? NCALM NAPA~500M?? E. CA Shear Zone (E. Mohave) ~500M?? Antarctic Dry Valleys M??? Bea Csatho (Ohio State) Hector Mine EQ10-100M???Ken Hudnut (USGS) Alvord (Tripod)16.6M 4 column (x,y,z + intensity) John Oldow (U. Idaho) LiDAR DATA SETS COMMITTED (?) TO GEON DISTRIBUTION:

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 21 Current Activities “Release” of GLW—GEON LIDAR Workflow capability Incorporation of ground-based LIDAR data Ground-based Data Collection Workshop, organized by John Oldow, April 6-7, 2006, SDSC/Calit2 Synthesis Center. Sponsored by NSF

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 22 Data Registration: GEONsearch Choose a filetype Choose subject (from a “base” ontology) Choose location (from a gazetteer Webservice) Choose a time (numeric range or from a time ontology Webservice) Choose concepts from ontologies

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 23 GEONsearch and myGEON GEONsearch Search Condition(s) spatial temporal concept Log GEON Catalog GEON Datasets extracted information/indexes Web services Gazetteer Geologic Age myGEON Map Service -Move data -Create map service -Create session selected results (shape file GEON ID’s) Handle to interactive map session Save Map Session Saved session Search results (in Data Integration Cart © )

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 24 The of GEON Data Registration 1.Register dataset, tool to index terms Allows users to more easily discover relevant resources 2.Register dataset “schema” to ontology E.g. Age_MA  Geologic Age Could be relational dbms, shapefile, Excel, netCDF, … Allows discovery of datasets that have information of interest, e.g. “all datasets that have velocity data” 3.Register data values to ontology E.g. “Jur”  Jurrasic Age from Geologic Age ontology Allows advanced data integration, e.g. integrate Paleobiology data with Paleostrat, or Neptune, Janus, etc. Prerequisite: ontologies need to be defined (by community), represented in OWL, and registered

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 25 GEON Data Registration Ontology Registration Dataset Registration (hosted) Data Item (Schema) Registration (hosted / non-hosted) Data Item Detail Registration (values) Service Registration Resource Registration

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 26 Data Registration Activities GEON “Mini- Workshop on Information Exchange from Distributed Data Systems”, Feb 7 th, 2006 Co-organized by Chuck Meertens, UNAVCO/GE ON and Ben Domenico, Unidata/LEAD Goal: Register netCDF/OpenD AP data in GEON portal

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 27 GEON IDV Courtesy Dr. Chuck Meertens, UNAVCO Adapt IDV for earth science datasets Incorporate web service calls in IDV to invoke GEONsearch and access and manipulate netCDF-based 3D, 4D data sets

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 28 Geo-ontologies Data Registration and Ontology meetings GEON Data Registration meeting, March 10-11, SDSC Volcano Ontology meeting, sponsored by NASA SESDI project (Semantically-Enabled Scientific Data Integration), Feb 16/17, SDSC An opportunity for the community to develop community standards for knowledge representation, e.g. Schemas, controlled vocabularies, ontologies And, choose a common representation system, e.g. OWL

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 29 Linkage with Other Geoinformatics, CI Projects CUAHSI Hydrologic Information System (HIS) HIS is using GEON data registration and search capability, and mapping services, and GEON PoP node structure and the “GEON Pack” (i.e. a common software stack), CHRONOS Database federation Hosting Paleo-pollen databases Hosting NAVDAT IT collaborations with NCMIR/BIRN (NIH), SESDI (NASA), LEAD, GRASP (Grid Benchmarking), Globus (Data Replication Service middleware)

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 30 E.g, CHRONOS Federated Databases The following databases are all part of the CHRONOS Federated Database at SDSC based on IBM’s DB2 Information Integrator. Federated database is registered in GEON. Neptune PaleoStrat PaleoBiology Janus TimeScale FAUNMAP MIOMAP

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 31 Opportunities Leverage CI from existing projects in same or even different disciplines Adopt a service-oriented architecture (SOA) i.e. standardize on Web service interfaces for tools, applications, and data E.g. Web Mapping Services for map image services, and WFS, WCS, and other standards, e.g for accessing geologic maps, gravity data, sensor data, … Need to deal with.NET and Java compatibility Develop centralized community services, e.g. for LIDAR processing Develop community standards for knowledge representation Schemas, controlled vocabularies, ontologies. Choose common representation system, e.g. OWL Organize community meetings, workshops, conferences Develop “Meta-workflow” frameworks Support inter-operation among different scientific workflow systems There may be an opportunity to work through a proposed new GSA Division on Geoinformatics and AGU working group on IT Geoinformatics See