1. 1 Data Integration Community of Practice Meeting September 15, 2009 Science Data Integration

2. 2 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

3. 3 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?

4. 4 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?

5. 5 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.

6. 6 Access & Discovery Portals, Libraries, Registries, Catalogs Standards for Exchange Protocols, Metadata, Structure Interoperable Data Semantic 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?

7. 7 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

8. 8 Data Integration: How Do We Get There?

9. 9 How Do We Get There? – The Council for Data Integration Driving 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

10. 10 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

11. 11 Open Discussion