supporting science & education with geoinformatics
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Supporting Science & Education with Geoinformatics. Kerstin Lehnert Lamont-Doherty Earth Observatory, Columbia University. Geoinformatics. The application of advanced information technologies to build a distributed , integrated digital information system and working environment - PowerPoint PPT PresentationTRANSCRIPT
Kerstin Lehnert
Lamont-Doherty Earth Observatory, Columbia University
GeoinformaticsThe application of advanced information technologies to build a distributed, integrated digital information system and working environment
that provides innovative means for the study of Earth as a complex system.
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www.geoinformatics.infoAGU: ESSI Focus GroupGSA: Geoinformatics DivisionEGU: ESSI Section
Drivers of Geoinformatics• The need to handle an ever-increasing
volume of Earth and space observation data.• The need to discover, access, integrate, and
understand multi-disciplinary data in order to deal with more complex problems and respond more rapidly.
• The need for processing power, storage, network bandwidth, and analysis tools to support data-based and data-intensive science.
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Benefits to Science & Education• Democratizes access to research resources
Ensures broad dissemination & application of scientific data & knowledge (education, general public, decision makers)
• Provides new opportunities for research & education Provides innovative tools for data discovery, data analysis,
data integration, modeling, etc. Facilitates new cross-disciplinary approaches
• Facilitates more efficient use of resources Allows sharing of instrumentation, computing, data,
samples Minimizes duplication of data collection Ensures preservation of unique data
• Offers new ways for collaboration (collaboratories, virtual observatories & organizations)
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Components of Geoinformatics• collections of scientific data & digital objects• software toolkits for resource discovery,
modeling, and interactive visualization• online instruments & sensor arrays• computational centers• collaboration services
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Diagram from M. Leinen, 2004:“Cyberinfrastructure for the Geosciences - An
agency perspective”,
Developing Geoinformatics
•Development/adoption of technologies•New organizational structures•Policy framework•Funding•Culture change
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From: Arzberger et al., Science, 2004
Geoinformatics
Status of Geoinformatics•Many ‘local’ systems exist or are
emerging. Disciplinary & programmatic databases Visualization & mapping tools Tools for capturing field observations &
sensor data Digital working environments, workflow
•Networking of systems (interoperability) is advancing
•Policy development & implementation is evolving
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Disciplinary Databases (Examples)• Geophysics: IRIS-DMC, MGDS• GPS, satellite & radar data: UNAVCO (UniData)• LIDAR: GEON• Igneous geochemistry: GEOROC, NAVDAT, PetDB• Geochronology: GEOCHRON (under development)
• Experimental petrology: LEPR• Metamorphic Petrology: MetPetDB (under development)
• Marine sediment geochemistry: SedDB, Pangaea• Stratigraphy: GeoStratSys• Paleobiology Database
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3/9/2009LDEO Geodynamics Seminar: “The 5th Dimension of Geochemistry”
9D
ata
Sto
rage
Use
r In
terf
ace
DataMetadata
Databases
Search
Data Portal
federated databases
Search
Data Library
BibliographicalInformation
Search
Geochemical Databases• Integrative data model
▫ Access to individual values, not data sets• Comprehensive data documentation (metadata)
▫ Sample location, sampling process, description & classification, geological context
▫ Analytical procedure and data quality• Interactive & dynamic user interface
▫ Build customized data sets that integrate data across original disparate sources (publications, theses, unpublished data sets)
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A Typical Question• “Are high MgO basalts (MgO >8 wt%) from
Lau Basin more enriched than high MgO basalts from the Mariana Trough?”
•Query PetDB database▫Set location: Lau Basin, Mariana Trough▫Set sample type: Basalt▫Set Chemistry Constraint: MgO > 8 wt%▫Select data types: Trace elements, REE
•Output data table (.txt, .xls) with data from >300 publications in ca. 2 minutes
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Putirka et al. (2007)Putirka et al. (2007)
Stracke & Hofmann (2005)Stracke & Hofmann (2005)
Success• Hundreds of citations in the literature• Thousands of unique users/month• Extensive use in education
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Herzberg et al. (2007)Herzberg et al. (2007)
Visualization (Examples)
•GEON▫Integrated Data Viewer▫OpenEarth Framework
(under development)
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http://www.geongrid.org/
Visualization (Examples)• CoreWall Suite▫ real-time stratigraphic correlation, core description
and data visualization system to be used by the marine, terrestrial and Antarctic science communities.
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http://www.corewall.org/
Visualization (Examples)
•GeoMapApp▫Data Exploration and Visualization Tool
browse bathymetry data from the world’s oceans
generate & download custom grids and maps make 3D perspective images map and display variety of data sets, including
seismic reflection profiles, geochemical analyses, seismicity, and shipboard measurements
import your own data & display on the map.
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www.geomapapp.org
GeoMapApp
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Networking: EarthChem
• International collaboration of geochemical databases
•Operates EarthChem Portal to discover & access data in federated databases
>13 million analytical values, >600,000 samples (PetDB, NAVDAT, GEOROC, USGS)
Interactive maps, tools for plotting, animations
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EarthChem: Other Services
•Compilation of new EarthChem datasets Deep Lithosphere Dataset Central Atlantic Magmatic Province
•Geochemical Resource Library Hosting & serving geochemical datasets Datasets registered with DOI for citation
•Promote standards & policies for geochemical data
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Networking: GeosciNET
• Integrated network of Geoinformatics data and tools
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VisualizationVisualizationCollaborationCollaborationData Integration Data Integration
Data Analysis Data Analysis
Data AcquisitionData Acquisition
Data Data DisseminationDissemination
Physical Samples & Geoinformatics•Need access to information about the
samples ▫to ensure proper evaluation and facilitate
interpretation of sample-based data.•Need links to physical specimens▫to make observations & measurements and
the science derived from them reproducible.▫to allow discovery & re-use of samples for
improved use of existing collections.•Requires unique sample identification
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System for Earth Sample Registration•Provides and manages global unique
identifiers for Earth samples
•Supports personal & institutional sample management
•Builds a Global Sample Catalog
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International Geo Sample Number
Register your samples atRegister your samples atwww.geosamples.orgwww.geosamples.org
Geoinformatics & Education
•Using Geoinformatics resources in the classroom
•Educating teachers & students in the use of Geoinformatics resources
• Involving educators in the creation of Geoinformatics educational resources
•Educating a new workforce for Geoinformatics
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Using Geoinformatics for Education•Work with real data•Easy access to large volumes of data▫Regional comparisons▫Global synthesis▫Statistical approaches
•Visualization•Real-time participation in data acquisition•Social networking
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Education Resources
•Science Education Resource Center SERC
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http://serc.carleton.edu/http://serc.carleton.edu/
Mini-Lessons at SERC (Examples)1. Global Geochemistry of Mid-Ocean Ridge
Basalts2. Plate Tectonics as Expressed in Geological
Landforms and Events: An Exploration using Google Earth™ and GeoMapApp
3. What Can (and Cannot) Be Learned from Scientific Drilling Using Examples from Margins Initiatives
4. Cenozoic Volcanic History of the Western United States
5. Igneous Rock Compositions and Plate Tectonics6. Crystallization-Differentiation of Basaltic Magma7. Compositional Diversity in Volcanic Suites
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Education: Upcoming Workshops
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Education: Short Courses
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EarthChem Short Courses
Concluding Remarks•GI is necessary to support Geoscience
research & education.•While the number of GI systems is growing,
coordination and integration of systems is insufficient.
•Open access to scientific data is fundamental.•Organizational and cultural challenges need
to be addressed to make GI a real science infrastructure.
•Scientists and educators need to actively participate in the development of GI.
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What can be done• Data Managers
▫ Enhance available resources (digital lab book, convenient data submission
▫ Education & outreach• Scientists
▫ Recognize the need of and comply with data policies▫ Engage in dialog with data managers▫ Support funding of new ‘coordinated’ database initiatives
• Societies▫ Improve visibility of DATA issues▫ Facilitate the global dialog on data issues
• Agencies▫ Provide incentives for data sharing▫ Encourage & support collaboration among databases (nationally &
internationally)
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