EarthCube Update IS-GEO Meeting
Eva Zanzerkia GEO/EAR 3/26/2015
EarthCube Update IS-GEO Meeting Eva Zanzerkia GEO/EAR 3/26/2015 - - PowerPoint PPT Presentation
EarthCube Update IS-GEO Meeting Eva Zanzerkia GEO/EAR 3/26/2015 What is EarthCube A future state of geosciences cyberinfrastructure that serves the entire academic geosciences community facilitates science on the Earth System simple
Eva Zanzerkia GEO/EAR 3/26/2015
A future state of geosciences cyberinfrastructure that serves the entire academic geosciences community
facilitates science on the Earth System simple and easy access to data and information seamless connection to tools and services flexible and community-driven development
Partnership between CISE/ACI and GEO: NSF 13-529
To transform geosciences research by supporting community- driven cyberinfrastructure to integrate data and information.
Dynamic Earth: GEO Imperatives & Frontiers 2015-2020 CI Framework for the 21st Century Science and Engineering (CIF21) OSTP Open Access Memo, 2/22/2013
Diversity of the geosciences Interdisciplinary Science Questions Big, Heterogeneous Data issues Communities that are poorly served/have no community resources
History & Theory of Infrastructure: lessons for New Scientific CI, Paul Edwards, 2007 People, routines, forms, and classification systems are as integral to information handling as computers, Ethernet cables, and Web protocols. The boundary between technological and organizational means of information processing is mobile. It can be shifted in either direction, and technological mechanisms can only substitute for human and organizational ones when the latter are prepared to support the substitution.
ACADEMIC GEOSCIENTISTS GEO FACILITIES CI/CS SCIENTISTS AGENCIES AND PARTNERS
NSF AND COMMUNITY PARTNERSHIP
Climate Modeling EarthScope ‘Omics Sedimentology
Discrete; Samples; Desktop Streaming; HPC
Real-Time Data Geochemistry Rock Physics Deep Sea Hydrology Community Modeling Structural Geology Critical Zone Ensemble Forecasts River/BioGeo
Unstructured data is collected Knowledge of resources lacking Principle Investigators work in isolation Difficulty discovering and vetting dark/legacy data Scaling algorithms for Big Data Lack of training in CI Ingesting heterogeneous data Quantifying uncertainty/quality Colocation of data and computation On-demand computing Interoperable streaming protocols Questions of ownership, credit, provenance Data integration and visualization Collaboration with computer scientists
Lack of community standards Hard to discover and use data outside discipline
FY13-14
Test Governance 6 Research Coordination Networks 15 Building Blocks 3 Conceptual Design
FY15
Integrative Activities, RCNs
http://earthcube.org/document/earthcube-past- present-future
http://earthcube.org
Volunteers from the Community; LC voice of EarthCube; Office supports operations
EarthCube All-Hands Meeting 5/27-29 NSF 13-529 Amendments
Framework created
meeting
assessment of gaps/priorities
Community Assessment-> Priorities
Enterprise Governance
driven Assessment- >Priorities
Testing Stage (FY14-15) Implementation (FY16-17)