EarthCube Vision• An alternative approach to respond to daunting science and

CI challenges• EarthCube is an outcome and a process• EarthCube will require broad community participation

The EarthCube Vision

EarthCube Goal and Outcomes

Outcomes• Transform practices

within the geosciences community spanning over the next decade

• Provide unprecedented new capabilities to researchers and educators

• Vastly improve the productivity of community

• Accelerate research on the Earth system

• Provide a knowledge management framework for the geosciences

GoalTo transform the conduct of research in geosciences by supporting the development of community-guided cyberinfrastructure to integrate data and information for knowledge management across the Geosciences.

EarthScope Science Plan

A comprehensive understanding of active continental deformation fromdays 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 topographyCurrently 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 overcomeo 1. Accessibilityo 2. Scaling

User Requirements Survey Data• Do you require data or data products from outside your

immediate discipline?o 52% Yeso 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% Yeso 25% No

Data Sources0%

20%40%60%80%

58%

20%43% 36% 45%

22%

NSF DOE NASA NOAA USGS Other

DoDInternationalStateIndustry

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

SocialNetworkSite

FirstCharrette

June 2011 July 2011 Aug 2011 Nov 2011 Dec 2011- present

EAGER Phase

Social Network Sitehttp://earthcube.ning.com/• ~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 thecommunity

• Unprecedented view of the pulse of the geosciences community

First Charrette• On-site 146

o Not all for the entire 3 ½ dayso 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 agencieso Internationalo Industry o Publisherso Societies and science organizationso 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

SocialNetworkSite

FirstCharrette

June 2011 July 2011 Aug 2011 Nov 2011 Dec 2011- 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 EventCharrette 2

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.

Working Groups

Semantics and

OntologiesWorkflow Governance

Data Discovery/Min

ing/Access

Timeline 2

First Sweep

Last EAGERs Supported

CommunityRoadmaps begin

SecondCharrette

January 2012 April 2012 Spring 2012 June 2012 July 2012

Working Group Phase

Concept of the Working Groups and

PrototypesWorking Groups

Concept X

Concept Y

Concept ZPrototypes

• 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

CommunityMeeting

Spring 2015 Early EC??

Nov. 2011

Charrette 1Requirements Analysis

Community Groups

Capability ProjectsMar. 2012

CommunityMeeting

Prototype1 Prototype2Spring 2014

Charrette 2Roadmaps &

Design

Jun. 2012

Late 2012-2013Working Groups

Working Groups

Working Groups

Concept Prototyping

Prototypes