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Data Integration Community of Practice Data Integration Community of Practice MeetingMeeting

September 15, 2009September 15, 2009

Science Data Integration

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The USGS in 2017

Understanding Ecosystems and Implications of Change

Quantifying Role of Environment and Wildlife in Human Health

Quantifying, Forecasting, Securing Freshwater For America’s

Future

Science for Risk, and Resilience Assessment of Natural Hazards

Clarifying the Climate Record to Assess Consequences of

Change

Science for Future Energy and Mineral Needs and Decisions

New Methods of Investigation and Discovery (Data Integration)

Biology

Geography

Geology

Water

GIO

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Data Integration: What is it?

It appears intangible.

Is it a concept? A picture? An Architecture? A Portal? Data Standards? A Data Warehouse?

Will we know it when we see it? How will we measure progress

towards it?

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The Science Strategy states:

“the USGS will use its information resources to create a more integrated and accessible environment for its vast resources of past and future data.”

Data Integration: What is it?

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Data Integration: What is it?

An individual scientist studying soil geochemistry in the Great Basin connects to a worldwide scientific computing and collaboration platform that includes thousands of USGS and other scientific research databases. She seamlessly visualizes her soil data and compares them to data on paleoclimate, rock geochemistry, dust sources and composition, geomicrobiology of local ecosystems, past and present surface- and ground-water chemistry, current satellite imagery, elevation, slope and other relevant data sets. Scientific inquiry within and outside USGS and external customers all benefit from the enhanced accessibility of decades of observational data and analysis.

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Access & Discovery Portals, Libraries,

Registries, CatalogsStandards for Exchange Protocols, Metadata, Structure

Interoperable DataSemantic standards (Data Model, Vocabulary, Taxonomy, Schema or Data Dictionary) that have full community agreement.

Tools Geospatial Display, Data Extraction,

Transformation, Load

Data Integration: What is it?

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Data Integration: A Project View

Access & Discovery Processes & Tools for Indexing Science Content (by geographic location, science topic, and

time) Comprehensive Science Catalog (Data, Publications, Specimens, Projects, etc.) Web Services Portals

Standards & Tools Data Loading, Metadata, and Data Exchange

Interoperable Data Integrated Data Modeling, Archiving and Retrieval Data Hosting Capability Extraction, Load, and Query

Authoritative Data Sources and Discipline-Based Data Stewards Science Informatics Applications Geospatial Data Accessibility Quantitative Science Models and Analytical Modeling Tools Communities of Practice Future Workforce Strategies

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Data Integration: How Do We Get There?

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How Do We Get There? – The Council for Data IntegrationDriving the Agenda, Defining Scope, Priority, and Tasks

Charter Ourselves Share our Stories Develop A Long-Term Vision and Plan Identify and Prioritize Projects that can be Delivered in

the Short-term Seek Funding Leverage Best Practices Develop Communities of Practice Evolve targeted solutions “Use Cases” through Pilot

Development, Testing and Expansion

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Potential Short-Term High Value Projects

Focus on Emerging Science Projects that can Serve as a Natural Laboratory for Developing Integrated Data, Tools, and Methodologies (Like the Climate Effects Network)

Broaden the Implementation of Techniques Developed to Supports these or other Science Projects

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Open Discussion