Technology Infusion Working Group - PowerPoint PPT Presentation

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

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

• 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)

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

• 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

Technology InfusionProcess and Strategies Sub-Group

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”

Communication Channels

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”

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

• 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

Technology InfusionCapability Vision Sub-Group

• 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

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

Technology InfusionWeb Services Sub-Group

• 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

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

Evolvable Technical Infrastructure

Web Services Technology Infusion(SOAP, WxF, GML, BPEL)(WSDL, UDDI, OWL)

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

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

• 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