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1 de 2
Options for Priorities
• Develop an emergent architecture
• Identifying and promoting success stories from EarthCube (science
stories) – may be a 5-10 year process, Evaluation of the Stories
• Promulgating tangible outputs of the awards and collective activity
(funded award success)
• Guidelines for shared services and other forms of federation among
data providers
• Developing a common format and extensible e-learning curriculum
for end user training modules in all aspects of the
cyberinfrastructure
• Benchmark CI progress against meeting scientific end-user needs
• Develop a prototype demonstrating connectivity and functionality
• Test bed for EarthCube widgets
• Documenting scientific workflow
• EarthCube Data Management Plans
• Coordination and alignment among EarthCube projects
Additional Options
• Scope & Articulation of Vision – what is within and outside the scope of
EarthCube (reference to Leadership Council)
• Identifying collaborations, interagency and international (outside of NSF)
• Identifying and documenting use cases and empirical data to pull together what
exists already
• Academia – education and where this starts
• Including in the EC Data Management Plan – roadmap for engagement with NSF
to improve the enforcement of data management plans
• Improve data discovery (leverage existing resources)
• Governance needs to be in place and be light/flexible, scientist lead rather than
CI
• Tie BB and other design efforts together
• What are the funding mechanisms for products within EarthCube (beyond
Working Groups)
• Adoption of Standards or Recommendations for Standards (e.g. Data Fair Port?
From biomedical community)
• Find a mechanism for “long-tail science” to participate
• Engaging the EC Stakeholders (& Listen)

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AHM 2014: Revisting Governance Model, Preparing for Next Steps

  • 1. Options for Priorities • Develop an emergent architecture • Identifying and promoting success stories from EarthCube (science stories) – may be a 5-10 year process, Evaluation of the Stories • Promulgating tangible outputs of the awards and collective activity (funded award success) • Guidelines for shared services and other forms of federation among data providers • Developing a common format and extensible e-learning curriculum for end user training modules in all aspects of the cyberinfrastructure • Benchmark CI progress against meeting scientific end-user needs • Develop a prototype demonstrating connectivity and functionality • Test bed for EarthCube widgets • Documenting scientific workflow • EarthCube Data Management Plans • Coordination and alignment among EarthCube projects
  • 2. Additional Options • Scope & Articulation of Vision – what is within and outside the scope of EarthCube (reference to Leadership Council) • Identifying collaborations, interagency and international (outside of NSF) • Identifying and documenting use cases and empirical data to pull together what exists already • Academia – education and where this starts • Including in the EC Data Management Plan – roadmap for engagement with NSF to improve the enforcement of data management plans • Improve data discovery (leverage existing resources) • Governance needs to be in place and be light/flexible, scientist lead rather than CI • Tie BB and other design efforts together • What are the funding mechanisms for products within EarthCube (beyond Working Groups) • Adoption of Standards or Recommendations for Standards (e.g. Data Fair Port? From biomedical community) • Find a mechanism for “long-tail science” to participate • Engaging the EC Stakeholders (& Listen)