EarthCube Monthly Community Webinar- Nov. 22, 2013

EARTHCUBE COMMUNITY UPDATES
Monthly Webinar
November 22, 2013
Organized by the EarthCube Test Enterprise Governance Project

Webinar Agenda
∗ EarthCube Awards – Project Overviews
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EarthCube Web Services (Building Block)
EC3: Earth-Centered Community for Cyberinfrastructure (RCN)
GeoSoft (Building Block)
Specifying and Implementing ODSIP (Building Block)
A Broker Framework for Next Generation Geoscience (BCube) (Building Block)
Integrating Discrete and Continuous Data (Building Block)
EAGER: Collaborative Research (Building Block)
A Cognitive Computer Infrastructure for Geoscience (Building Block)
Earth System Bridge (Building Block)
CINERGI – Community Inventory of EC Resources for Geoscience Interoperability (BB)
Building a Sediment Experimentalist Network (RCN)
C4P: Collaboration and Cyberinfrastructure for Paleogeosciences (RCN)
Developing a Data-Oriented Human-centric Enterprise for Architecture (CD)
Enterprise Architecture for Transformative Research and Collaboration (CD)
EC Test Enterprise Governance: An Agile Approach (Test Governance)

∗ A Call for Involvement!

EarthCube
Web Services
Building Block
By
Tim Ahern
Director of Data Services, IRIS
IRIS, CUAHSI, IEDA @ LDEO, UNAVCO,
Unidata, GPlates-Caltech, RAMADDA

Overview

The objective of the Web Services Building Block is to
provide access to scientific data from a variety of
domains using relatively simple service interfaces.
These interfaces will be as consistent as possible and
service as data sources to the Brokering Building Block.
The are intended to assist in data discovery, access, and
usability across multiple domains.

EarthCube Building Block Partners
RAMADDA

Long Tail Data

GGP

NEON
IRIS

UTEP
Gravity
Inter
Magnet
Structural
Geology

UNAVCO

NGDC
WSBB

CUAHSI

SDSC

Caltech
GPlates

OOI
Columbia
IEDA

BCube

Unidata

CINE
RGY

WOVODAT

Strategy
Goal: Create web services that are as uniform as possible and support
the most fundamental space-time discovery and access criteria.
Two solutions depending on data type:
1. Simple Web Services

REST-like services offering data in cross-domain formats (text, NetCDF) with
common or similar query parameters and patterns.

2.

3.

RAMADDA

An existing data management system that will be extended to support
simple web service access.

Simple Clients
Another benefit is that the envisioned simple services enable
simple clients to be developed by scientists

There is no better place to have these conversations than in the field
EC3—Earth-Centered Communication for Cyberinfrastructure:
Challenges of field Yosemite/Owen’s Valley
Summer 2014 field trip: data collection, management, and
integration
Why Concentrate on Field-based

disciplines of the Geosciences?
Initiate relationships and

collaborations challenges field-based to
between with regards
Common set of
geoscientists and computer
digitizing our data and making those data
Summer 2015 field trip: TBA
scientists
available through community databases.
Applications to participate in fieldtrips:

Steering Committee Membership: Richard Allmendinger, Cornell U; Jim Bowring,
College of Form available in Chan, U of Utah; Amy Ellwein, Rocky Mountain Bio
Charleston; Marjorie December, 2013
Deadline: provides essential information
Lab; Yolanda Gil, U of Southern CA; Paul Harnik, Franklin and Marshall College; Eric
FieldworkTBA
Kirby, Penn State U; Ali Kooshesh, Sonoma State U; Matty Mookerjee, Sonoma State
U; Rick about the long-term Inc; Terry Pavlis, theTexas, El Paso; Shanan
Morrison, Comprehend Systems history of U of Earth’s
Peters, U of Wisc, Madison; Bala Ravikumar, Sonoma State U; Paul Selden, U of
atmosphere, oceans, and tectonic cycles.
Kansas; Thomas Shipley, Temple U; Frank Spear, Rensselaer Poly. Inst; Basil Tikoff, U
of Wisc, Madison; Douglas Walker, U of Kansas; Mike Williams, U of Mass., Amherst

Software Stewardship for Geosciences
Principal Investigators:

NSF ICER-1343800

geosoft.earthcube.org

Christopher J. Duffy

Department of Civil and Environmental Engineering, Penn State University

Yolanda Gil

Information Sciences Institute, University of Southern California
Department of Computer Science, University of Southern California

James D. Herbsleb

Institute for Software Research, Carnegie Mellon University

Chris A. Mattmann

NASA Jet Propulsion Laboratory
Department of Computer Science, University of Southern California

Scott D. Peckham

Department of Hydrologic Sciences, University of Colorado

Erin Robinson

Foundation for Earth Science

The Importance of Geosciences Software
• EarthCube aims to enable scientists solve challenging
problems that span diverse geoscience domains
– This requires not only data sharing but new forms of knowledge
sharing

• The focus of our project is on helping scientists to share
knowledge concerning the software they develop

Problems: Software Cost
– “Scientists and engineers spend more than 60% of
their time just preparing the data for model input
or data-model comparison” (NASA A40)

“Common Motifs in Scientific Workflows: An Empirical Analysis.” Garijo, D.; Alper, P.;
Belhajjame, K.; Corcho, O.; Gil, Y.; and Goble, C. Future Generation Computer Systems, 2013.

The Importance of Geosciences Software
• The focus of our project is on helping scientists to share
knowledge concerning the software they develop
– Software implements models (ecology, hydrology, climate,...)
• Embodies very sophisticated knowledge about those models
– Other software implements data reformatting, QC, etc.
• Estimated to take 60-80% of effort in most research projects

• There are repositories of model software (CSDMS,
CGI, ESMF,…)
• There are no shared repositories for other
geosciences software

GeoSoft: Software Stewardship for Geosciences
• An on-line community for sharing knowledge about geosciences
software
– Intelligent assistance to describe new software: how to use it appropriately,
what kinds of data, how it relates to other software
– Sophisticated search capabilities to find software for their needs
– Interactive advice on open source software, forming successful developer
communities, and other software sharing topics

• Project involves: geoscientists, social scientists expert in on-line
communities, and computer scientists expert in knowledge capture,
open source software, and software reuse

ODSIP:
The Open Data-Services
Invocation Protocol
Building Blocks for EarthCube
Dave Fulker (OPeNDAP, Inc), PI
November-2013

OPeNDAP Mission: Reduce
Data-Usage Impedance

Data Access as
a Service
In the ideal, WebServices building
blocks ⇒
Distance (users
to data) does not
matter

But Distance Does
Matter...
When combined
with factors such
as
Large data
volumes

Large Volumes
May Be OK
With services for
creating subsets
(OPeNDAP’s
forte since
~1994)

But Subsetting May
Be Insufficient
Especially for
multi-instrument,
x-disciplinary
studies
Users require data
that
(prior to
delivery)
have been
transformed

ODSIP Building
Blocks:
Data acquisition
protocol + rich
algebra of preretrieval ops
Statistical
summarization
Binning
Remapping
Feature
extraction
...

Summary: the

ODSIP Project Will
Develop a service-invocation paradigm
Extend the well-used OPeNDAP protocol
Offer an algebra of pre-retrieval operations

Prototype its use in 3 (hard!) geo contexts
Climate-model downscaling - native-Hawaiian use
Storm surge prediction - coastal NC emergencies
SST front analysis/synthesis - from satellite images

Engage the EarthCube community...

BCubeBrokering Building
Blocks
for EarthCube
1st EarthCube Community Webinar

Project Goals
• Demonstrate both a process and a technology
for addressing critical needs of EarthCube
– A process for understanding and working with
scientists and educators while developing
infrastructure
– To develop cyberinfrastructure components that
ease the discovery, understanding, use and reuse
of data and knowledge

Technical Facets of BCube
• Advance brokering capabilities

– Mediating new types of resources, including real time
data, model components, and workflows
– Enhancing semantic mediation capabilities
– Developing public APIs to broker components

• Establish a testbed in the cloud

– For purposes of test and evaluation

• Build and test interfaces with major data
repositories
• Demonstrate ability to find new data and
knowledge resources by crawling the web

Social Science Facets of BCube
• Develop innovative methods to capture data
practices and needs, and then incorporate
these into broker development in an iterative,
continuous (i.e. agile) development cycle
– Observe scientists as they execute scenarios
– Interview project scientists and developers

Educational Facets of BCube
• Explore ways in which brokering can enhance
learning and improve access to data and
models by novices
– Exploit capabilities of broker to interface with
social networks

• Foster interest among early career scientists
in cyberinfrastructure development and
utilization

BCube Organizational
Structure

http://dx.doi.org/10.7265/N59C6VBC

Learn more
about our
vision for
EarthCube

Stay Informed!
Subscribe to:
bcube-edu@nsidc.org
bcube-tech@nsidc.org
bcube-sci@nsidc.org
by visiting https://nsidc.org/mailman/listinfo
and bookmark
http://nsidc.org/bcube (coming soon)

EarthCube Building Blocks:
Integrating Discrete and Continuous Data

David Maidment, Dan Ames, Alva Couch, Ethan Davis
EarthCube Community Webinar, Nov 22, 2013

Hydrologic domain:
Discrete Spatial Objects
Observations

GIS

• Discrete observations
• Features
• In situ sensors
E.g. :
Waterflow,
Streamflow,
Discharge

Atmospheric Science Domain:
Continuous space-time arrays
• Arrays of multi-dimensional data
• Coverages
• Satellite observations
E.g.
Precipitation maps,
Remote Sensing
Rain flux,
Soil moisture grids,
Wind direction/magnitude/elevation

Climate

Digital Barriers

Observations and Time Series

Climate Observations and Grids

Geographic Information
Systems (GIS)

Remote Sensing

Breaking Down Digital Barriers
• Cataloging and discovery
• Common Data/Information Model
• Data access web services, data encodings
• Data access, analysis, and visualization applications/tools
• Outreach to the community

Leveraging Semantics and Linked Data for
Geoscience Data Sharing and Discovery
A wide spectrum of maturing methods and tools, collectively
characterized as Semantic Web Technologies, enables machines to
complete tasks automatically.
For the Geosciences, Semantic Web Technologies will vastly
improve the integration, analysis and dissemination of research
data and results.
This EarthCube project will conduct exploratory research applying
state-of-the-art Semantic Web Technologies to support data
representation, discovery, analysis, sharing and integration of
datasets from the global oceans, and related resources including
meeting abstracts and library holdings.

Leveraging Semantics and Linked Data for
Geoscience Data Sharing and Discovery
• A key contribution will be semantically-enabled
cyberinfrastructure components capable of automated data
integration across distributed repositories.
Woods Hole Oceanographic Institution
• Cynthia Chandler
• Lisa Raymond
• Adam Shepherd
• Peter Wiebe
Lamont-Doherty Earth Observatory
• Robert Arko
• Suzanne Carbotte

University of Maryland, Baltimore County
• Tim Finin
• Tom Narock
Wright State University
• Pascal Hitzler
• Michelle Cheatham
• Adila Krisnadhi

Earth System Bridge
An NSF funded EarthCube Building Block
Scott Peckham, CU-Boulder, PI
Co-PIs
Cecilia Deluca (NOAA, CIRES), David Gochis (NCAR),
Rocky Dunlap (GA Tech), Anna Kelbert (OSU), Gary
Egbert (OSU), Eunseo Choi (Memphis), Jennifer Arrigo
(CUAHSI)

The Science Goal: Improving
Environmental Modeling Predictions
∗ Mission-Driven agencies

providing predictions
∗ Efficient data and
computational enterprise
∗ Information to protect life
and property
“Bridging the Gap” to Enable
Research-to-Operations
Operations-to-Research

∗ Academic Enterprise
∗ Geoscientists advancing

the science
∗ Computer scientists
advancing the technology
∗ Scientific inquiry and
hypothesis testing

Building the Bridge
∗
∗
∗

∗
∗
∗
∗

Framework Definition Language
(FDL)

∗
∗

Metadata specification
Application Architecture
Protocols for interaction
Mechanics and Implementation

Build a series of bridges
Semantic
Frameworks

new services to improve the
integration of inter-agency, fourdimensional databases with
more heterogeneous academic
databases

Initial Groups for Demonstration
∗ ESMF- Earth System
Modeling Framework
∗ NUOPC - National
Unified Operational
Prediction Capability –
Layer to enhance
interoperability
FEDERAL

∗ CSDMS - Community
ACADEMIC

Surface Dynamics
Modeling System
∗ Pyre -Python Framework
for Coupling CIG Models
∗ CUAHSI data services
∗ NCAR/UCAR resources
∗ WRF
∗ CESM
∗ CSS-Wx

Community
Inventory of
EarthCube
Resources for
Geoscience
Interoperability
dataset discovery is the most often cited issue in executive summaries
on the EarthCube web site

Goals


Inventory of EarthCube information
resources
 datasets, catalogs, vocabularies, information





models, services, process models, etc.
resources for interoperability
links between resources, people, publications,
models, etc.
cross domain data applications and collaborations
community contribution to resource descriptions.

Inventory resource scope
Activity
Person
Organization
Community

Vocabulary
Record Collection
Crosswalk

Software
Model
Workflow

Repository
Facility

Specification

Starting Point: Queries










Is there a defined information exchange for topic X
Find example implementations of specification X
Find resources with subject X (theme, geographic area...)
Find datasets with subject Y using query concept
expansion
Find people who have worked in Domain X, dataset Y,
location L
Find repositories that will accept my data
Find resources annotated by person X
Find geographic region having data of type Z
Find datasets that contain property X

Approach
Build on http://connections.earthcube.org
 Compile metadata for as many resources as
we can (collect recommendations at AGU, harvest existing catalogs)
 Expose through simple search interface
 Use off the shelf technology: Geoportal, ISO
metadata, CSW
 Make it accessible through EarthCube.org


Then add features
Links to organizations, researchers, other systems
 Validation Services
 Deep registration of datasets/databases
 Data search capabilities
 Quality/interop readiness assessment
 Annotation system


Development Team


San Diego Supercomputer
Center/UCSD
 Ilya Zaslavsky, David

Valentine, Tom Whitenack
 Amarnath Gupta, Jeff Grethe
(NIF project)


Lamont /Columbia
Univ./IEDA
 Kerstin Lehnert, Leslie Hsu



Arizona Geological Survey
 Stephen Richard



University of Chicago
 Tanu Malik



Open Geospatial Consortium
 Luis Bermudez

Community Partners
• Anthony Aufdenkampe: Critical
Zone Observatories
• Shanan Peters: stratigraphy
• Bernhard Peucker-Ehrenbrink:
Global River Observatories
• RCN projects that plan to
organize community resources
• Test Enterprise Governance
• Building Blocks projects
working on web services,
brokering solutions
• Agencies
• International

RCN: Building a Sediment
Experimentalist Network (SEN)

Wonsuck Kim (UT Austin)
Leslie Hsu (LDEO)
Brandon McElroy (U Wyoming)
Raleigh Martin (UCLA)

meanders
channels
deltas

ripples

floods

mountains

Motivation: Sediment experiment data and facilities

increasing and improving rapidly, but the rate of science
communication, data discovery, and data re-use is not keeping
pace.

Goal: More accessible data, guidelines, and procedures,

leading to better-equipped investigators. Archived, re-usable
data for our own and other related research communities.

EarthCube RCN: Building a Sediment Experimentalist Network

 Component

1

 SEN

Knowledge Base (SEN-KB): a centralized
place for sharing knowledge and data






a data repository leveraging and building on the existing
National Center for Earth-surface Dynamics (NCED) Data
Repository
synthesizes research activities of experimentalists by
continuously aggregating existing and newly-collected
experimental data.
make data discoverable to those outside our immediate
community – e.g. modelers and field geomorphologists


58

 Component

2

 SEN

Education and Data Standards (SEN-ED):
developing and promoting guidelines




workshops, special sessions, the NCED Summer Institute
educate data management and experimental techniques
facilitate development of suggested guidelines for data and
metadata management and disseminate those to end users.


59

 Component

3

 SEN

Experimental Collaboratories (SEN-EC):
a new form of research collaboration in our
community:



broadcast physical laboratory experiments and interact with
colleagues through a webinar system.
foster greater communication among experimentalists and
promote collaborations within and beyond the Earth-surface
science community regardless of physical location.


60

EarthCube RCN: Cyberinfrastructure for
Paleobioscience (C4P)

Goals
• Build new partnerships and collaborations among
geoscientists and technologists
• Survey and catalog existing resources
• Build community around cyberscience & paleogeoinformatics
• Advance development of common standards and semantic
frameworks, working closely with biological community

EarthCube RCN: Cyberinfrastructure for
Paleobioscience (C4P)
Steering Committee

Lehnert, Kerstin
IEDA, Columbia University
Anderson, David M.
NOAA, National Climatic Data Center
Fils, Douglas
Consortium for Ocean Leadership
Jenkins, Chris University of Colorado at Boulder
Lenhardt, Christopher Renaissance Computing Institute
Noren, Anders University of Minnesota
Olszewski, Thomas
Texas A&M University
Smith, Dena
University of Colorado at Boulder
Uhen, Mark
George Mason University
Williams, Jack University of Wisconsin-Madison

C4P

Challenge: Much fossil data is ‘dark’ – i.e. not
easily accessible

Neotoma
DB
www.neotomadb.org

C4P

Challenge: Many informatic efforts, little
coordination or interoperability among efforts
VertNet
Neotoma DB

Paleobio.
DB
Morphobank

Neptune

IEDA

iDigBio

Digimorph

Macro-Strat

TMI

Tree of Life

C4P

Planned RCN Activities

❖ Cataloging existing cyberinfrastructure resources in the
paleobiological sciences
❖ Webinar series featuring other EarthCube projects and
related geo- & bioinformatic activities (coming soon)
❖ Workshops:
➢ Paleobioinformatics (May/June 2014)
➢ Geochronology
➢ Synthesis

❖ Town Halls & Early Career Symposia at GSA, AGU, ESIP
❖ Social Media: Twitter, EarthCube Website, etc.

C4P

EarthCube Conceptual
Design: Developing a DataOriented Human-Centric
Enterprise Architecture for
EarthCube
Chaowei Yang*, Chen Xu*, and Carol Meyer°
October 15, 2013
* George Mason University

° Federation of Earth Science Information Parterns

Project Objective
• This project seeks to design a conceptual architecture that
can bring geoscientists, computing scientists, and social
scientists together to collaborate on networks of data,
technology, applications, business models, and
stakeholders.
1. Design a data-oriented CI for achieving the goal of
EarthCube as a knowledge management system and CI
that integrates all geosciences data to transform the
conduct of geoscience research and education.
2. Have geoscientists and domain experts at the center and
facilitate them to communicate and collaborate using
multiple layers of technology and information to achieve
the sharing of data/information/knowledge.

Three-Layer Architecture
Layer 2: Information

Layer 3: Knowledge

Layer 1: Model

EarthCube Architecture Report Template (TBD)
VOLUME 1

VOLUME 2

Vision for EarthCube
1.1
Fit for Purpose Architecture
1.2
Goals and Objectives
2. Framework Overview
2.1
EarthCube Architecture Framework Defined
2.2
Purpose and Scope
3. Domains of Architecture (Strategic, Capability, and Solution)
4. Principles of Federation
4.1
FEAF, TOGAF, Zachman, and DoDAF
4.2
EarthCube Enterprise Architecture Overview
5. Customer Requirements
5.1
Support of Key Processes
5.2
The Program Tier
5.3
The Enterprise Tiers (Component, Research
Projects, and
Geoscience Domains)
6. Methodologies
6.1
Methodology Based Approach to Architecture
6.2
System – Component, Package, Deployment
Diagrams
7. Presentation
7.1
EarthCube Enterprise Architecture Notional
Structure
7.2
Generated Views (Reports)
8. Data Focus
8.1
Core Architecture Data Model (CADM)
8.2
Exchange Standard: XML Schema Definitions
(XSDs)
9. Process Performance Engineering & Metrics
9.1
Performance Engineering in Process Improvement
9.2
Metrics for Use in Testing Process Improvement
10. Analytics
10.1
Modeling and Simulation
10.2
Executable Architectures
11. Architecture Planning
11.1
Organizing the Architecture Effort
11.2
Architecture Management
12. Configuration Management (CM, Not Instantiated Architectures)
13.1
Configuration Control Board (CCB)
13.2
CADM (EarthCube Architecture Data Model)
13.3
Generic Process Models
13.4
EarthCube Enterprise Architecture Framework

1. Operations Architecture
1.1
Capabilities/Metrics
1.2
Process
1.3
Information Flow
1.4
Data Descriptions
1.5
Roles
2. Technology Architecture
2.1
Systems, Applications, Services,
Interfaces
2.2
Infrastructure (Networks, CES, Computing,
Spectrum)
2.3
Standards (DISR, profiles)
2.4
Data Exchange
3. Net-Centric Architecture Description
3.1
Net-Centric Perspective
3.2
Backward Compatibility with Legacy
Architectures
3.3
Point to Point Connections
3.4
Support for SOA

1.

VOLUME 3
1.

EarthCube Enterprise Architecture Metamodel
APPENDICIES (Applies to all 3 Volumes):
A.
GLOSSARY
B.
ACRONYMS
C.
REFERENCES
D.
TRANSITION FROM DODAF V1.0/1.5 TO
V2.0

EarthCube Conceptual Design: Enterprise
Architecture for Transformative Research
and Collaboration Across the Geosciences
A socio-technical system of systems:
Based on Technology components to
support
• social network
• research computation
• data management.
Technology-enabled feedback between users cultivates
an emergent, self-organizing system

Approach


Challenge: adoption of research enterprise
to 21st century technology
 Larger community, new communication

channels, more information
 Issues are mostly reshaping social networks
and attitudes

Paradigm: Emergent, Self-organizing
system
 Requires more direct interaction between
agents in the system


Feedback loop
People
Models
Data…

Resources

Usage

Activities

Log
Analysis
Recommendations

Impact

Publication
Discussion
Data use
Data revision
Annotation…

Design


Incorporate emerging social technology in research
enterprise
 Klout, PeerIndex, Academia.com, Mendeley, Google Scholar,

LinkedIn, ResearchGate…

Metrics for impact, recommendations
 Integrate with recognized cyberinfrastructure
components:


 Catalogs, data services, repositories, standards

Development Team


San Diego Supercomputer Center/UCSD: Ilya Zaslavsky,
Amarnath Gupta, David Valentine




Arizona Geological Survey: Stephen Richard
University of Chicago: Tanu Malik

Advisory Team of Large Information
System Architects
• USGS
• Academic Data
Centers
• National Research
Facility

• Geoscientists
• Social organization
experts
• Mendeley
• OGC

•
•
•
•

IBM
Microsoft
Elsevier
ESRI

EarthCube Test Enterprise
Governance: An Agile
Approach
M. Lee Allison, PI
Rachael Black, Anna Katz, Kate Krestchmann, Kim
Patten, & Genevieve Pearthree
November 5, 2013

EARTHCUBE ENTERPRISE TEST GOVERNANCE
An agile approach to
design a system that
catalyzes the field and
works for you
How do we bring your
tools, standards, and
skills into EarthCube?

STAKEHOLDER ENGAGEMENT (YEAR 1): CROWDSOURCING

Governance timeline – Year 1
Stakeholders
(Assembly) –
governance
ideas, testing

Integrate
stakeholder
concepts crowdsource

Synthesize
and
recommend
to NSF

Governance timeline – Year 2
Establish Test
Governance

Facilitate
convergence on
system design,
data standards

Evaluate results:
basis for long
term governance

STAKEHOLDER ENGAGEMENT (YEAR 1): EARTHCUBE ASSEMBLY
Industry & FOSS:
Instrumentation,
Software, and
Technology
Developers

EarthCube
Portfolio

Research
Science
Communities

End-User
Communities &
Workshop
Participants

Data
Facilities
& Users

IT/CS/
Information
Scientists
Professional
Societies

Assembly
Advisory
Council

(10-12 members)

“Executive
Branch”

An unbiased,
objective
process to
get your
input and
propose a
solution

Test
Governance
Project
Secretariat

“Legislative
Body”

Assembly
&
Assembly
Advisory
Council

EARTHCUBE.ORG
The “Public Site” Portal

Earthcube.org

The “Workspace”

The
Workspace

A CALL FOR YOUR INVOLVEMENT
• Virtual Town Hall: November 22, 11:30 EST
• Upcoming community workshops: Jan – March 2014
• All Hands Meeting, June 24-26, 2014, Washington, DC
• Crowdsourcing:
• Virtual table-top gaming exercises
• Feedback on governance models
• Social Media – Twitter, Facebook
• www.earthcube.org

EarthCube Monthly Community Webinar- Nov. 22, 2013

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EarthCube Monthly Community Webinar- Nov. 22, 2013