EarthCube Vision An alternative approach to respond to daunting science and CI challenges An alternative approach to respond to daunting science and CI.

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Presentation transcript:

EarthCube Vision An alternative approach to respond to daunting science and CI challenges An alternative approach to respond to daunting science and CI challenges EarthCube is an outcome and a process EarthCube is an outcome and a process EarthCube will require broad community participation EarthCube will require broad community participation The EarthCube Vision

EarthCube Goal and Outcomes

EarthScope Science Plan A comprehensive understanding of active continental deformation from days to hundreds to thousands to millions of years, time-scales that span several to many earthquake cycles. A true 4-D dynamic models of the system consistent with the 3-D structure of the subsurface and the multi-scale (in time and space) deformation of the surface. 147 Terabytes Seismic, 40 Terabytes Geodetic, continuous near real time recording, 4000 sq km topography Currently individual investigators are work in a piece meal format collecting the required data sets from individual sources.

“Blue Book”: Challenges and Opportunities in the Hydrologic Sciences (2012) Hydrologic modeling Sensor revolution “The Water Cycle: An Agent of Change,” “Water and Life,” and “Clean Water for People and Ecosystems,” What are challenges in developing and using regional climate change projections for assessing future hydrologic change and impacts? No single discipline provides the entire knowledge base for advancing hydrologic sciences in the 21st century

High Resolution Numerical Models physics-based watershed models to predict and manage surface, groundwater and ecological resources. o Link atmospheric, land-surface vegetation, soil moisture and subsurface observations into a fully- coupled distributed system o evaluate ecosystem and detect the impact of climatic change provides The current computing infrastructure must overcome o 1. Accessibility o 2. Scaling

User Requirements Survey Data Do you require data or data products from outside your immediate discipline? o 52% Yes o 14% No Where do you obtain your data? Is there a place for products of your own work to be archived and accessed? o 45% Yes o 25% No

We Know The current research-CI paradigm works, but clearly needs revision The process must be community driven NSF will play a role as facilitator “Modes of Support” will continue through and beyond this development but they will be better connected

Strategic Convergence Using “Spiral Development” 10 Years

Timeline First DCL Webex Community Outreach Social Network Site First Charrette June 2011July 2011Aug 2011Nov 2011Dec present EAGER Phase

Social Network Site ~650 members to the EarthCube website 113 white paper submission;185 respondents to user survey 4 New Community Groups Unknown number of hours of pro bono contributions by the community Unprecedented view of the pulse of the geosciences community

First Charrette On-site 146 o Not all for the entire 3 ½ days o Attendance was high even on last morning Virtual ~ 100 (varied by day) Broad representation of geosciences research community o Including several graduate and post-docs Representation also included o Other federal agencies o International o Industry o Publishers o Societies and science organizations o Organizational specialists

Charette Capability Summary Data discovery and workflow Metadata Data access and cybersecurity Data management within workflows Modeling standards, frameworks, capabilities Visualization and validation tools Numerical methods/software engineering Community governance and broadening participation Best practices, policy enforcement Continuity and sustainability

Timeline First DCL Webex Community Outreach Social Network Site First Charrette June 2011July 2011Aug 2011Nov 2011Dec present EAGER Phase

Expressions of Interest Good response - 60 submissions Sharing submissions o All most all are shared Pulse of the GEO-CI community Broad themes evident o Example (initial subject judgment) 7 - Prototype development 6 - case studies (narrowly focused) 6 - semantics/ontologies 4 - model management 4 - data discovery and workflow

Gap Analysis Data Brokering X- Domain Interop. Service Based Integration Earth System Modeling Layered Architecture Community Event Charrette 2 Community Event Charrette 2 Feasibility of Prototyping Outcomes to date Roadmap through FY 14 with milestones Community engagement, etc. Feasibility of Prototyping Outcomes to date Roadmap through FY 14 with milestones Community engagement, etc. Concept Prototyping X Concept Prototyping Y Concept Prototyping Z WG Rules of Engagement, e.g. Guiding principles Function Participation Output Timeline, etc. WG Rules of Engagement, e.g. Guiding principles Function Participation Output Timeline, etc. Working Groups Semantics and Ontologies WorkflowGovernance Data Discovery/Minin g/Access

Timeline 2 First Sweep Last EAGERs Supported Community Roadmaps begin Second Charrette January 2012April 2012Spring 2012June 2012July 2012  Working Group Phase

Concept of the Working Groups and Prototypes Working Groups Concept X Concept X Concept Y Concept Y Concept Z Concept Z Prototypes Engage the entire geosciences Community Address areas essential for EarthCube Responsible for user requirements Responsible for long-term roadmaps Possible mechanisms for enacting EarthCube More than one in the beginning Not complete solutions, just meeting minimum requirements Essential that Prototypes are tailored by Working Group output

Community Meeting Spring 2015 Early EC?? Nov Charrette 1 Requirements Analysis Community Groups Capability Projects Mar Community Meeting Spring 2014 Charrette 2 Roadmaps & Design Jun Late Working Groups Concept Prototyping Prototypes