AHM 2014: Revisting Governance Model, Preparing for Next Steps
The document lists several potential priorities for EarthCube including developing an emergent architecture, identifying and promoting success stories, providing guidelines for shared services, developing common end user training, benchmarking progress against scientific needs, creating a prototype to demonstrate connectivity and functionality, documenting scientific workflows, and coordinating projects. Additional options mentioned are scoping and articulating a vision, identifying collaborations, documenting use cases, engaging academia in education, improving data management plans and data discovery, establishing light governance led by scientists, tying different design efforts together, determining funding mechanisms, adopting standards, enabling participation from diverse fields, and engaging stakeholders.
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)