Technology Infusion Working Group

1. Technology Infusion Working Group Rob Raskin, NASA/JPL Karen Moe, NASA/ESTO 4th Earth Science Data Systems Working Group Meeting Baltimore, MD October 25 - 27, 2005

2. Agenda • Mission & Scope • Activities & Accomplishments • Process & Strategies • Web Services • Capability Vision • Breakout Session Agenda

3. Tech Infusion Working Group • Mission • Enable NASA Earth Science Enterprise to reach its research, application, and education goals more quickly and cost effectively through widespread adoption of key emerging information technologies • Scope • Information technologies that... • Provide capabilities critical to ESE mission & vision • Have been substantially developed (TRL 6-9) but not widely deployed • Cannot be obtained simply through reuse of mature subsystems or software • May be slow to adopt due to unique characteristics of Earth science data (e.g., large volumes, 4-dimensions)

4. NAME NAME AFFILIATION AFFILIATION Brian Wilson Oscar Castaneda JPL Michigan State University David Cordner Peisheng Vhao NASA/LaRC George Mason University David Isaac Peter Cornillon Business Performance Systems University of Rhode Island Peter Slaughter Elaine Dobinson JPL University of California at Santa Barbara Erick Malaret Rob Raskin Applied Coherent Technology JPL Fred Watson Rudolf Husar California State University MB Washington University in St. Louis Stefan Falke James Frew University of California at SB Washington University in St. Louis Steve Kempler Karen Moe NASA/ESTO NASA/GSFC Steve Olding Karl Benedict Earth Data Analysis Center Everware Tom Yunck Keith Wichmann GST JPL Kerry Handron Vince Troisi Carnegie Museums NSIDC Liping Di Wenli Yang George Mason University George Mason University Michael Burnett Yonsook Enloe ECHO NASA/GSFC (Stds. WG liaison) Neal Most Yuechen Chi NASA/GSFC George Mason University Working Group Members

5. FY05 Activities • 3 sub-groups • Process & Strategies • Capability Vision • Web Services • Communications • About 40 telecons • Presented poster at January ESIP Federation meeting • Conducted workshop and presented web services case studies at August ESIP Federation meeting • Resources/Deliverables • Process and Strategies case studies of emerging technologies • Barrier/Solutions Table • ECHO White paper • Capability Vision video • short and long versions (accepted by NASA) • Web Services roadmap for NASA HQ

6. Technology InfusionProcess and Strategies Sub-Group

7. Understanding Infusion Phases in the Innovation-Development Process Consequences Benefits from adoption of innovation Diffusion and Adoption Dissemination of innovation Commercialization (Productization) Conversion of idea from research into 'product' Solution Development Putting idea into usable form (e.g., technology prototype) Research (basic and applied) Knowledge acquisition Recognition of problem or need Needs / Problems Adapted from: Rogers (1995),”Diffusion of Innovations”

8. Communication Channels Understanding The Innovation Decision Process Previous practice Felt needs / problems Innovativeness Norms of the social systems - The means by which a message gets from the source to the receiver -Different channels may play different roles in creating awareness and persuading individuals to change their attitude towards the innovation Prior Conditions Knowledge Persuasion Decision Confirmation Implementation Characteristics of Innovation (perceived) Continued Adoption Characteristics of Decision-Maker Adoption Socioeconomic characteristics Personality variables Communication behaviour Relative advantage Compatibility Complexity Trialability Observability Later Adoption Discontinuance Continued Rejection Rejection Adapted from: Rogers (1995),”Diffusion of Innovations”

9. TIWG Infusion Process Available technologies Technology trends analysis Stakeholder needs and objectives Stakeholder needs identification Technology identification Validate and Prioritize Science needs Identified technology trends Candidate technologies End user needs Prioritized capability needs Data systems goals Technology gaps (new technology needs) Technology matching New technology development Technology adoption evaluation Selected and prioritized technologies Infusion strategies Infusion planning Known infusion barriers Technology deployment

10. Infusion Case Studies • Created Technology Infusion Barrier/Solution Table • For each barrier (row): • Type (Technical, Informational, Financial, Policy, Sociological, Environmental) • Significance (High / Medium / Low) • Solutions • Technology project experiences • Technology projects evaluated • ECHO (EOS ClearingHOuse) – Robin Pfister, Michael Burnett • ADaM (UAH Algorithm Development and Mining) – Helen Conover • ESML (Earth Science Markup Language) - Helen Conover • HEW (HDF-EOS Web-based Subsetter) - Helen Conover • ADL (Alexandria Digital Library) - Peter Slaughter • DIAL/NWGISS (Data and Information Access Link) – Liping Di • Invasive Species Forecasting System – Neal Most • Project experience feeds back to update Table

11. Technology InfusionCapability Vision Sub-Group

12. Capability Vision • Describes 10 capabilities comprising an ES information system capability vision • Identifies technologies critical to achieving the vision • Positions capabilities and technologies within a real-world scenario • Used to develop a shared understanding of the vision within the community • Delivered in two versions • 30 minute overview of capabilities • 5 minute highlights with narration

13. Capability Vision and the TIWG Infusion Process Available technologies Technology trends analysis Stakeholder needs and objectives Stakeholder needs identification Technology identification Validate and Prioritize Science needs Identified technology trends Candidate technologies End user needs Prioritized capability needs Data systems goals Technology gaps (new technology needs) Technology matching Capability vision New technology development Technology adoption evaluation Selected and prioritized technologies Infusion strategies Infusion planning Known infusion barriers Technology deployment

14. Technology InfusionWeb Services Sub-Group

15. Background: Technology Infusion Process • Established a capability vision for Earth science information systems • Identified Interoperable Information Services as a key capability in the vision • Identified web services as the primary supporting technology • Currently defining a roadmap for web services technology infusion Peer Review & Competitive Selection Technology Development Technology Infusion Solicitation Formulation Operational Systems Capability Needs Capability Vision Identified Gaps Technology Roadmaps Technology Projections

16. Scalable Analysis Portals Community Modeling Frameworks Assisted Data & Service Discovery Assisted Knowledge Building Interactive Data Analysis Seamless Data Access Interoperable Information Services Responsive Information Delivery Verifiable Information Quality Infusing Web Services Will Help Realize the Vision for Interoperable Information Services and Other Capabilities Evolvable Technical Infrastructure Web Services Technology Infusion(SOAP, WxF, GML, BPEL)(WSDL, UDDI, OWL)

17. Web Services on the Map Web Services are part of ‘middleware’ for building agile applications responsive to science & decision making needs NASA, NOAA, EPA Applications Charts Exploratory/Decision Analysis & Modeling Applications Exploration Analysis Modeling See Capability Vision charts Tools Registration Discovery Integration Mediation Indexing Workflow Chaining Processing Domain code Business logic Web Services See Web Services roadmap for individual technologies Core Web/Grid Services Security, Authentication, & Authorization Virtualization, Semantics Physical Network Messaging, Syntax, Interoperability, Stack, Standards Internet Infrastructure

18. Web Services Roadmap Results  Accelerated Research & System Cost Savings  Increased Collaboration & Interdisciplinary Science  Increased Knowledge Understanding  Improved Information Sharing  Fully Automated Data Utilization Outcome  Open 4-D services proliferate  Production quality 4-D services  Intelligent Services  Geospatial services established Output Capability  Parameter-based product searches and access  Semantic 4-D search & access  Automatic service mediation  Full 4-D logical searches and access Assisted Discovery & Mediation  Local processing + data exchange  Basic data tailoring services (data as service) • Interoperable 4-D services(analysis as service)  Metadata-driven data fusion (semantic service chaining) Interoperable Information Infrastructure Technology  Open data access established (OpenDAP, OGC) • Common 4-D schema adopted (GML, ESML)  4-D service catalog established (WSDL, UDDI)  Open 4-D ontology converges (OWL) Data  Open service protocols established (HTTP, REST)  Common service protocol, description adopted (SOAP, WSDL)  Unified security & identity management (WS-Security, SAML)  Standard workflow language infused (BPEL) Messaging Current Near Term Mid Term Long Term

19. FY06 Activities • Sub-groups • Emerging technology focus areas (Service-oriented architecture, Semantic web) • Process & Strategies • Web Services (updates only) • Capability Vision (updates only) • Communications • Weekly telecons • Participation in Web Service Chaining track at January ESIP Federation meeting • Resources/Deliverables • Process and Strategies case studies of additional emerging technology implementations • Updates to Barrier/Solutions Table • Additional White papers • New technology focuses • Service-oriented architectures, semantic web, … • Capability Vision video updates • Web Services roadmap updates

20. Breakout Session Agenda