EarthCube Introduction for the IT/FOSS Workshop

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Information about EarthCube Introduction for the IT/FOSS Workshop
Technology

Published on March 6, 2014

Author: EarthCube

Source: slideshare.net

Description

Introduction to EarthCube for the IT/FOSS Workshop in Boulder, CO, March 5-7, 2014.

Presentation by Lee Allison, Arizona Geological Survey.

DATA & SOFTWARE AT YOUR FINGERTIPS: NSF'S EARTHCUBE AND THE COMPUTER/INFORMATION SCIENCES EarthCube Test Enterprise Governance Workshop Boulder, CO March 5-7, 2014

WORKSHOP GOALS Seek guidance on a communitybased plan to further cyberinfrastructure in the geosciences Assess needs, visions, opportunities, and challenges to the EarthCube builders for the computer and information sciences Identify ways the EarthCube Commons can support these communities

NSF VISION AND GOALS Eva Zanzerkia EarthCube Program Manager NSF

EARTHCUBE TEST ENTERPRISE GOVERNANCE PROJECT An agile approach to design a system that catalyzes the field and works for the community How do we link your tools, standards, and skills to create EarthCube?

Organizational timeline – Year 1 Stakeholders (Assembly) – governance ideas, testing Integrate stakeholder concepts crowdsource Synthesize and recommend to NSF Demo phase Governance charter Governance timeline – Year 2 Establish Organizational Demo Facilitate convergence on system design, data standards Evaluate results: basis for long term organization NSF solicitation?

WHAT IS EARTHCUBE “GOVERNANCE?” Not imposition of unwanted command and control Resistance is futile!

Providing a ‘backbone’ to help build community Governance is finding solutions to specific problems, fostering trust, reconciling interests, and coordinating communities.

OPPORTUNITIES IN SHAPING EARTHCUBE

EarthCube governance is a blank canvas We are looking to you to paint the future

EarthCube Commons Supporting a voice for the community

STAKEHOLDER ENGAGEMENT (YEAR 1): EARTHCUBE ASSEMBLY Industry & FOSS: Instrumentation, Software, and Technology Developers EarthCube Awards Research Science Communities End-User Communities & Workshop Participants Data Facilities & Users IT/CS/ Information Scientists Professional Societies Assembly Advisory Council

STAKEHOLDER ENGAGEMENT (YEAR 1): EARTHCUBE ASSEMBLY Industry & FOSS: Instrumentation, Software, and Technology Developers EarthCube Awards Research Science Communities End-User Communities & Workshop Participants Assembly Advisory Council Data Facilities & Users IT/CS/ Information Scientists Professional Societies . . .

DATA FACILITIES WORKSHOP WASHINGTON, JANUARY 14-16, 2014 • Council of Data Facilities • Topical Working Groups • EarthCube staff, logistics, travel funding

EARTHCUBE PORTFOLIO WORKSHOP (NSF-funded EarthCube projects) Boulder, February 12-14, 2014 • Coordinating Committee • Community-driven system design

STAKEHOLDER ENGAGEMENT (YEAR 1): CROWDSOURCING

New website www.earthcube.org

EARTHCUBE.ORG The “Informational Site” Portal Earthcube.org The “Workspace” The Workspace

A CALL FOR YOUR INVOLVEMENT • Upcoming community workshops: Jan – March 2014 • All Hands Meeting, June 24-26, 2014, Washington, DC • Crowdsourcing: • Strategic Pathways exercises • Input & feedback on community models • Social Media – Twitter, Facebook • www.earthcube.org

ASSEMBLY ADVISORY COUNCIL SUMMIT APRIL 16-18, 2014 LODGE ON THE DESERT, TUCSON, AZ

EARTHCUBE COMMONS Resolving the social, cultural, and organizational challenges to building infrastructure

EVALUATORS ROLES Workshop facilitation Meeting observation and periodic interventions (some built into the agenda and some in “real time” to respond to emergent dynamics) to ask questions that will generate reflection and learning on governance Targeted facilitation support for the chartering of the new forums after the workshop

FORMATIVE EVALUATION Testing and analyzing process and solutions Stakeholder alignment

DEVELOPMENTAL EVALUATION “learn as you go” Real-time feedback Ongoing interaction between project staff, evaluators, and participants (‘strategic learning’)

DEVELOPMENTAL EVALUATION Three pillars: 1) Learning - “The systematic use of data for continuous improvement and the collective interpretation of new information” 2) Being Strategic - “Applying the collective interpretation of information to strategy” 3) Applied Research - “Utilizing theory and research to ground both strategy and learning in a broader context”

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