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EarthCube Stakeholder
Alignment:
Data and Principles

Nick Berente, University of Georgia
Burcu Bolukbasi, UIUC
Nosh Contractor, Northwestern University
Leslie DeChurch, Georgia Tech University
Joel Cutcher-Gershenfeld,
Courtney Flint, Utah State University
Gabriel Gershenfeld, Cleveland Indians
University of Illinois, Urbana-Champaign
Michael Haberman, UIUC
John L. King, University of Michigan
Eric Knight, University of Sydney
Barbara Lawrence, UCLA
Spenser Lewis, General Dynamics
Pablo Lopez, UIUC
Ethan Masella, Brandeis University
Charles Mcelroy, Case Western
Reserve University
Support from the National Science Foundation is deeply appreciated:
Barbara Mittleman, Nodality, Inc.
NSF-VOSS EAGER 0956472, “Stakeholder Alignment in Socio-Technical Systems,”
Mark Nolan, UIUC
NSF OCI RAPID 1229928, “Stakeholder Alignment for EarthCube,”
Melanie Radik, Brandeis University
NSF GEO-SciSIP-STS-OCI-INSPIRE 1249607, “Enabling Transformation in the Social
Namchul Shin, Pace University
Sciences, Geosciences, and Cyberinfrastructure,”
Susan Winter, University of Maryland
NSF I-CORPS 1313562 “Stakeholder Alignment for Public-Private Partnerships”
Ilya Zaslavsky, UCSD
Today’s most troubling and daunting problems
have common features: some of them arise from
human numbers and resource exploitation; they
require long-term commitments from separate
sectors of society and diverse disciplines to solve;
simple, unidimensional solutions are unlikely; and
failure to solve them can lead to disasters.
In some ways, the scales and complexities of our
current and future problems are unprecedented,
and it is likely that solutions will have to be
iterative . . .
Institutions can enable the ideas and energies of
individuals to have more impact and to sustain
efforts in ways that individuals cannot.
From “Science to Sustain Society,” by Ralph J. Cicerone, President,
National Academy of Sciences, 149th Annual Meeting of the
Academy (2012)
Institutions ≠ Systems

US Power Grid

US Passenger Air Transportation System

Natural Disasters
Sources: Carolos A. Osario, ESD Doctoral Seminar, 2004, and Joel Cutcher-Gershenfeld

US Internet Backbone

http://www.xprt.net/~rolfsky/internetSite/internet.html
There is hope . . .
The issues of how best to govern natural resources
used by many individuals in common are no more
settled in academia than in the world of politics.
Some scholarly articles about the “tragedy of the
commons” recommend that “the state” control most
natural resources . . . Others recommend . . .
privatization. . . What one can observe in the world,
however, is that neither the state nor the market is
uniformly successful in enabling individuals to sustain
long-term, productive use of natural resource
systems. Further, communities of individuals have
relied on institutions resembling neither the state
nor the market to govern some resource systems
with reasonable degrees of success over long
periods of time.
Eleanor Ostrom, Governing the Commons: The
Evolution of Institutions for Collective Action, p. 1
Institutional and systems requirements

Creating Value

. . . expanding the “pie” and
enabling systems transformation

Mitigating Harm

. . . anticipating and mitigating
externalities and catastrophic
systems failures
Dynamic Tensions/Opportunities in Governance
Defining stakeholder alignment . . .
“The extent to which interdependent stakeholders
orient and connect with one another
to advance their separate and shared interests.”

A simplified
conceptual
framework . . .

Culture

Strategy

Structure

Behavior
Preliminary findings on Formation. . .
A. Increased visibility of stakeholder interests will accelerate
stakeholder dialogue and alignment
B. A shared vision of success will enable faster formation and
more robust forms of stakeholder alignment
C. Lateral alignment across stakeholders will be constrained
or enabled by the internal alignment within stakeholder
organizations
D. Initial stakeholder alignment will depend on trust;
sustained stakeholder alignment will depend on new
structural arrangements (forums, roles, incentives, etc.)
Preliminary findings on Operations. . .
E. Sustained stakeholder alignment will require leadership
based on influence, more than authority
F. Forums that are “over specified” or “under specified” will
ineffective in advancing both individual and collective
interests – minimum critical specifications

G. Primary leverage for change is “middle-out” protocols and
standards, not top-down or bottom-up
H. Failure to deliver on both individual and collective interests
will erode stakeholder alignment and systems success
Minimum critical specification:
No more and no less!
Council of Data Facilities
Charter

Assembly of EarthCube
Funded Projects Guidelines

I. Preamble
II. Vision
III. Mission and goals
IV. Definition
V. Membership
VI. Roles and responsibilities
VII. Operations
VIII. Coordination with
EarthCube
IX. Signatures

I.
II.
III.
IV.
V.

Introduction and overview
Guiding principles
Operations
Roles and responsibilities
Assembly coordinating
committee
VI. Coordination with
EarthCube
VII. Signatures
The vision. . .
“Over the next decade, the geosciences
community commits to developing a
framework to understand and predict
responses of the Earth as a system—from
the space-atmosphere boundary to the
core, including the influences of humans
and ecosystems.”
– GEO Vision Report of NSF Geoscience
Directorate Advisory Committee, 2009
Potential failure modes. . .
1.
2.
3.
4.
5.
6.
7.

Unrealistic or misaligned expectations among people presently
involved in EarthCube
“Build it and they will come” mindset – users don’t show up, data
is not shared, etc.
Not valuing what presently exists – current cyber/geo science
efforts and initiatives that represent parts of the EarthCube vision
Not advancing the frontier in transformative ways relative to what
presently exists – only automating the current state
Not engaging the 200,000+ geoscience and cyber stakeholders not
presently involved in EarthCube
Not anticipating the needs of the next generation of geoscience
and cyber stakeholders (todays doctoral students and post docs,
as well as the generation behind them)
“Unk Unk” – additional unknown unknowns including
transformational changes in the technology, catastrophic shifts in
the policy arena, etc.
Stakeholder alignment data by End User Workshop
(n=1,544)
EarthCube Website
Data Centers
Early Career
Structure and Tectonics
EarthScope
Experimental Stratigraphy
Atmospheric Modeling / Data Assimilation and
Ensemble Prediction
OGC
Critical Zone
Hydrology / Envisioning a Digital Crust
Paleogeoscience
Education & Workforce Training
Petrology & Geochemistry
Sedimentary Geology
Community Geodynamic Modeling
Integrating Inland Waters, Geochemistry, Biogeochem
and Fluvial Sedimentology Communities
Deep Sea Floor Processes and Dynamics
Real-Time Data
Ocean ‘Omics
Coral Reef Systems
Geochronology
Ocean Ecosystem Dynamics
Clouds and Aerosols
Rock Deformation and Mineral Physics

(n=164)
(n=578)
(n=37)
(n=24)
(n=22)
(n=21)

Oct. 17-18, 2012
Nov. 19-20, 2012
Nov. 29-30, 2012
Dec. 11-12, 2012

(n=29)
(n=14)
(n=39)
(n=23)
(n=40)
(n=33)
(n=59)
(n=50)
(n=45)

Dec. 19, 2012
Jan. 13, 2013
Jan. 21-23, 2013
Jan. 29-31, 2013
Feb. 3-5, 2013
Mar. 3-5, 2013
Mar. 6-7, 2013
Mar. 25-27, 2013
Apr. 22-24, 2013

(n=46)
(n=29)
(n=25)
(n=42)
(n=44)
(n=66)
(n=36)
(n=39)
(n=35)

Apr. 24-26, 2013
June 5-6, 2013
June 17-18, 2013
Aug. 21-23, 2013
Sept. 18-19/Oct. 23-24, 2013
Oct. 1-3, 2013
Oct. 7-8, 2013
Oct. 21-22, 2013
Nov. 12-14, 2013
Stakeholder Alignment data by Fields and
disciplines (n=1,544)
Primary

Secondary

Atmospheric
Biologist/Ecosystems
Climate Scientists
Critical zone
Geographers
Geologists
Geophysicists
Hydrologists
Oceanographers

n=175 (11.3%)
n=127 (8.2%)
n=78 (5.1%)
n=31 (2%)
n=32 (2.1%)
n=358 (23.2%)
n=148 (9.6%)
n=82 (5.3%)
n=171 (11.3%)

n=74 (4.8%)
n=101 (6.5%)
n=86 (5.6%)
n=44 (2.8%)
n=34 (2.2%)
n=112 (7.3%)
n=73 (4.7%)
n=61 (4.0%)
n=94 (6.1%)

Computer/Cyber
Data managers
Software engineers

n=82 (5.3%)
n=53 (3.4%)
n=24 (1.6%)

n=91 (5.9%)
n=86 (5.6%)
n=50 (3.2%)

Note: additional categories included in the survey, but these are the focus here.
Sample specific areas of expertise
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•

Air Sea Interaction
Atmospheric Radiation
Basalt geochemistry
Biodiversity Information
Networks
Carbonate Stratigraphy
Chemical Oceanography
Coastal Geomorphology
Computational Geodynamics
Cryosphere-Climate Interaction
Disaster Assessment
Ensemble data assimilation
Geochronology
Geoinformatics
Geomicrobiology
Glaciology
Heliophysics

•
•
•
•
•
•
•
•
•
•
•
•
•
•
•

Isotope Geochemistry
“It’s complicated”
Magnetospheric Physics
Mesoscale Meteorology
Multibeam Bathymetric Data
Nearshore Coastal Modeling
Paleoceanography
Paleomagnetism
Permafrost Geophysics
Planetology
Riverine carbon and nutrient
biogeochemistry
Satellite gravity and altimetry
data processing
Tectonophysics
Thermospheric Physics
Watershed Management
Accessing data, models, and software within
fields/disciplines: Importance and ease

untitled - ec- 08- indomain.pdf

How IMPORTANT is it for you to find, access, and/or integrate multiple datasets, models, and/or software
(e.g. visualization tools, middleware, etc.) in your field or discipline? (v58)
How EASY is it for you to find, access, and/or integrate multiple datasets, models, and/or software (e.g.
visualization tools, middleware, etc.) in your field or discipline? (v59)
Importance and ease within fields/disciplines
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2

0.1
0
IMPORTANT
data, tools,
models in your
field
EASE data,
tools, models
in your field
Accessing data, models, and software across
fields/disciplines: Importance and ease
untitled - ec- 09- spandomain.pdf

How IMPORTANT is it for you to find, access, and/or integrate multiple datasets, models, and/or software
(e.g. visualization tools, middleware, etc.) that span different fields or disciplines? (v60)
How EASY is it for you to find, access, and/or integrate multiple datasets, models, and/or software (e.g.
visualization tools, middleware, etc.) that span different fields or disciplines? (v61)
Importance and ease across fields/disciplines
1

0.9
0.8
0.7
0.6
0.5

0.4
0.3
0.2
0.1
0
IMPORTANT
data, tools,
models across
fields
EASE data,
tools, models,
across fields
Cooperation/sharing among geoscientists
Cooperation/sharing among cyber-developers

untitled - ec- 12- current- coop.pdf

3/ 4/

There is currently a high degree of sharing of data, models, and software among geoscientists. (v69)
There is currently a high degree of sharing of software, middleware and hardware among those developing
and supporting cyberinfrastructure for the geosciences. (v70)
Cooperation/sharing among geoscientists
and among cyber-developers by fields and disciplines
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0

cooperation among geoscientists
Cooperation among cyber-developers
Collaboration between geo and cyber
Sufficient end user training

untitled - ec- 13- current- collob.pdf

There is currently sufficient communication and collaboration between geoscientists and those who
develop cyberinfrastructure tools and approaches to advance the geosciences. (v72)
There is currently sufficient geoscience end-user knowledge and training so they can effectively use the
present suite of cyberinfrastructure tools and train their students/colleagues in its use. (v73)
Collaboration between geo and cyber and sufficient
end user training by fields and disciplines
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0

Collaboration between geo and cyber
Sufficient end-user training
End user views on sharing data, tools, models,
and software

untitled - ec- 15- adv- career.pdf

Overall, I believe that sharing data, tools, models, and software that I generated will advance my career in
the next 3-5 years? (v82)
I trust that the data, tools, models, and software shared by other colleagues will be well-documented and
reliable. (v83)
End user views on sharing data, tools, models,
and software by fields and disciplines
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0

Sharing will advance my career
I turst data will be well-documented and reliable
Support for sharing from employer and colleagues
untitled - ec- 27- eff orts.pdf

My employer/organization will most likely value and reward any efforts I make in the shaping and
development of EarthCube (v120).
Any contributions I might make to the shaping and development of EarthCube will likely be recognized and
valued by colleagues in my field/discipline (v122).
Support for sharing from employer and
colleagues by fields and disciplines
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0

Employer will value EC efforts
Colleagues will value EC efforts
End user views on commercial products and
applications

untitled - ec- 22- com mercial.pdf

The EarthCube incorporate commercial products or applications to reduce cost or speed development.
(v105)
The EarthCube process should generate tools and approaches that benefit commercial products or
applications. (v106)
End user views on commercial products and
applications by fields and disciplines
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0

Incorporate commercial
Benefit commercial
Motivation for engagement with EarthCube
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0
Advancing Advancing Networking Developing Leading to
Making
my research my teaching opportunities successful new scientific geoscience
grant
advances
data /
proposals
findings
available to
the general
public

Informing
resource
managers
and policy
makers

Serving my
field /
profession
Support for EarthCube specifying guidelines
Support for guidelines using international standards

EC should specify guidelines

EC should use formal int. standards

m(s) = 0.79 (0.19)[n=353, 18]

m(s) = 0.84 (0.18)[n=342, 29]

The EarthCube initiative should specify guidelines so there is more interoperability and uniformity in
discovering, accessing, sharing, and disseminating geoscience data. (v99)
Where such standards exist, EarthCube should use formal, internationally approved, geoscience-wide data
access/sharing standards and protocols (e.g. ISO, OGC). (v100)
Support for collaboration among US govt. orgs.
Support for collaboration between US and Intl. orgs.

untitled - ec- 26- enable.pdf

EarthCube should play an active role in enabling collaboration and coordination of geoscience cyberinfrastructure activities among US government organizations (NSF, NOAA, NASA, Army Corp, etc.). (v116)
EarthCube should play an active role in enabling collaboration and coordination between US and
international geoscience cyberinfrastructure initiatives and organizations. (v117)
Selected elements of success from the
Early Career workshop
Access/Uploading:

Output/Impact:

•
•
•

•

•
•

Google earth style interface
Accessible data submission interface
Standardized meta data on data type, data
context, data provenance, etc. for field scientists
(with and without internet access)
Data security
Public accessibility; empower non-specialists

Utilization/Operations:
•
•
•
•
•
•
•
•

Community mechanisms to build tools
Large data manipulation, visualization, and
animation
Searchable access by space, time, and context
Pull up data and conduct analysis with voice
commands
Open source workflow management for data
processing and user-contributed algorithms in
order to facilitate reproducible research
Cross-system comparisons; ontology crosswalks
for different vocabs in different disciplines
Easy integration of analytic tools (R, Matlab, etc.)
NSF support for data management

•
•

•

•
•
•

Mechanisms to provide credit for
work done (data, models,
software, etc.); ease of citations;
quantify impact
Promote new connections between
data producers and data
consumers
Interactive publications from text
to data
Recommendations system (like
Amazon) for data, literature, etc.;
Flickr for data (collaborative
tagging)
Educational tutorials for key
geoscience topics (plate tectonics,
ice ages, population history, etc.)
Gaming scenarios for planet
management
EarthCube app store; ecosystem of
apps
Most important challenges of the
21st Century, as identified by NAE
• Make solar energy
economical

• Engineer better medicines

• Provide energy from fusion

• Reverse-engineer the
brain

• Develop carbon
sequestration methods

• Prevent nuclear terror

• Manage the nitrogen cycle
• Provide access to clean water

• Restore and improve urban
infrastructure
• Advance health informatics

Source: http://www.engineeringchallenges.org/

• Secure cyberspace
• Enhance virtual reality
• Advance personalized
learning
• Engineer the tools of
scientific discovery
Appendix
The complete survey (1544 respondents) is available for
exploratory analysis via a new online interface:
The URL is http://maxim.ucsd.edu/ecsurvey1544
This version requires Silverlight plugin. As before, it will take a few
minutes to load it the first time (because of the size of the survey
data file).
There are also two additional versions
http://maxim.ucsd.edu/openlinkpivot/survey1544.html

http://maxim.ucsd.edu/lobsterpot/0.9.32/survey1544.html
These do not require a plugin, but these are experimental, and less
robust than the first one.

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EarthCube Stakeholder Alignment Survey Introduction to the Data by Joel Cutcher-Gershenfeld

  • 1. EarthCube Stakeholder Alignment: Data and Principles Nick Berente, University of Georgia Burcu Bolukbasi, UIUC Nosh Contractor, Northwestern University Leslie DeChurch, Georgia Tech University Joel Cutcher-Gershenfeld, Courtney Flint, Utah State University Gabriel Gershenfeld, Cleveland Indians University of Illinois, Urbana-Champaign Michael Haberman, UIUC John L. King, University of Michigan Eric Knight, University of Sydney Barbara Lawrence, UCLA Spenser Lewis, General Dynamics Pablo Lopez, UIUC Ethan Masella, Brandeis University Charles Mcelroy, Case Western Reserve University Support from the National Science Foundation is deeply appreciated: Barbara Mittleman, Nodality, Inc. NSF-VOSS EAGER 0956472, “Stakeholder Alignment in Socio-Technical Systems,” Mark Nolan, UIUC NSF OCI RAPID 1229928, “Stakeholder Alignment for EarthCube,” Melanie Radik, Brandeis University NSF GEO-SciSIP-STS-OCI-INSPIRE 1249607, “Enabling Transformation in the Social Namchul Shin, Pace University Sciences, Geosciences, and Cyberinfrastructure,” Susan Winter, University of Maryland NSF I-CORPS 1313562 “Stakeholder Alignment for Public-Private Partnerships” Ilya Zaslavsky, UCSD
  • 2. Today’s most troubling and daunting problems have common features: some of them arise from human numbers and resource exploitation; they require long-term commitments from separate sectors of society and diverse disciplines to solve; simple, unidimensional solutions are unlikely; and failure to solve them can lead to disasters. In some ways, the scales and complexities of our current and future problems are unprecedented, and it is likely that solutions will have to be iterative . . . Institutions can enable the ideas and energies of individuals to have more impact and to sustain efforts in ways that individuals cannot. From “Science to Sustain Society,” by Ralph J. Cicerone, President, National Academy of Sciences, 149th Annual Meeting of the Academy (2012)
  • 3. Institutions ≠ Systems US Power Grid US Passenger Air Transportation System Natural Disasters Sources: Carolos A. Osario, ESD Doctoral Seminar, 2004, and Joel Cutcher-Gershenfeld US Internet Backbone http://www.xprt.net/~rolfsky/internetSite/internet.html
  • 4. There is hope . . . The issues of how best to govern natural resources used by many individuals in common are no more settled in academia than in the world of politics. Some scholarly articles about the “tragedy of the commons” recommend that “the state” control most natural resources . . . Others recommend . . . privatization. . . What one can observe in the world, however, is that neither the state nor the market is uniformly successful in enabling individuals to sustain long-term, productive use of natural resource systems. Further, communities of individuals have relied on institutions resembling neither the state nor the market to govern some resource systems with reasonable degrees of success over long periods of time. Eleanor Ostrom, Governing the Commons: The Evolution of Institutions for Collective Action, p. 1
  • 5. Institutional and systems requirements Creating Value . . . expanding the “pie” and enabling systems transformation Mitigating Harm . . . anticipating and mitigating externalities and catastrophic systems failures
  • 7. Defining stakeholder alignment . . . “The extent to which interdependent stakeholders orient and connect with one another to advance their separate and shared interests.” A simplified conceptual framework . . . Culture Strategy Structure Behavior
  • 8. Preliminary findings on Formation. . . A. Increased visibility of stakeholder interests will accelerate stakeholder dialogue and alignment B. A shared vision of success will enable faster formation and more robust forms of stakeholder alignment C. Lateral alignment across stakeholders will be constrained or enabled by the internal alignment within stakeholder organizations D. Initial stakeholder alignment will depend on trust; sustained stakeholder alignment will depend on new structural arrangements (forums, roles, incentives, etc.)
  • 9. Preliminary findings on Operations. . . E. Sustained stakeholder alignment will require leadership based on influence, more than authority F. Forums that are “over specified” or “under specified” will ineffective in advancing both individual and collective interests – minimum critical specifications G. Primary leverage for change is “middle-out” protocols and standards, not top-down or bottom-up H. Failure to deliver on both individual and collective interests will erode stakeholder alignment and systems success
  • 10. Minimum critical specification: No more and no less! Council of Data Facilities Charter Assembly of EarthCube Funded Projects Guidelines I. Preamble II. Vision III. Mission and goals IV. Definition V. Membership VI. Roles and responsibilities VII. Operations VIII. Coordination with EarthCube IX. Signatures I. II. III. IV. V. Introduction and overview Guiding principles Operations Roles and responsibilities Assembly coordinating committee VI. Coordination with EarthCube VII. Signatures
  • 11. The vision. . . “Over the next decade, the geosciences community commits to developing a framework to understand and predict responses of the Earth as a system—from the space-atmosphere boundary to the core, including the influences of humans and ecosystems.” – GEO Vision Report of NSF Geoscience Directorate Advisory Committee, 2009
  • 12. Potential failure modes. . . 1. 2. 3. 4. 5. 6. 7. Unrealistic or misaligned expectations among people presently involved in EarthCube “Build it and they will come” mindset – users don’t show up, data is not shared, etc. Not valuing what presently exists – current cyber/geo science efforts and initiatives that represent parts of the EarthCube vision Not advancing the frontier in transformative ways relative to what presently exists – only automating the current state Not engaging the 200,000+ geoscience and cyber stakeholders not presently involved in EarthCube Not anticipating the needs of the next generation of geoscience and cyber stakeholders (todays doctoral students and post docs, as well as the generation behind them) “Unk Unk” – additional unknown unknowns including transformational changes in the technology, catastrophic shifts in the policy arena, etc.
  • 13. Stakeholder alignment data by End User Workshop (n=1,544) EarthCube Website Data Centers Early Career Structure and Tectonics EarthScope Experimental Stratigraphy Atmospheric Modeling / Data Assimilation and Ensemble Prediction OGC Critical Zone Hydrology / Envisioning a Digital Crust Paleogeoscience Education & Workforce Training Petrology & Geochemistry Sedimentary Geology Community Geodynamic Modeling Integrating Inland Waters, Geochemistry, Biogeochem and Fluvial Sedimentology Communities Deep Sea Floor Processes and Dynamics Real-Time Data Ocean ‘Omics Coral Reef Systems Geochronology Ocean Ecosystem Dynamics Clouds and Aerosols Rock Deformation and Mineral Physics (n=164) (n=578) (n=37) (n=24) (n=22) (n=21) Oct. 17-18, 2012 Nov. 19-20, 2012 Nov. 29-30, 2012 Dec. 11-12, 2012 (n=29) (n=14) (n=39) (n=23) (n=40) (n=33) (n=59) (n=50) (n=45) Dec. 19, 2012 Jan. 13, 2013 Jan. 21-23, 2013 Jan. 29-31, 2013 Feb. 3-5, 2013 Mar. 3-5, 2013 Mar. 6-7, 2013 Mar. 25-27, 2013 Apr. 22-24, 2013 (n=46) (n=29) (n=25) (n=42) (n=44) (n=66) (n=36) (n=39) (n=35) Apr. 24-26, 2013 June 5-6, 2013 June 17-18, 2013 Aug. 21-23, 2013 Sept. 18-19/Oct. 23-24, 2013 Oct. 1-3, 2013 Oct. 7-8, 2013 Oct. 21-22, 2013 Nov. 12-14, 2013
  • 14. Stakeholder Alignment data by Fields and disciplines (n=1,544) Primary Secondary Atmospheric Biologist/Ecosystems Climate Scientists Critical zone Geographers Geologists Geophysicists Hydrologists Oceanographers n=175 (11.3%) n=127 (8.2%) n=78 (5.1%) n=31 (2%) n=32 (2.1%) n=358 (23.2%) n=148 (9.6%) n=82 (5.3%) n=171 (11.3%) n=74 (4.8%) n=101 (6.5%) n=86 (5.6%) n=44 (2.8%) n=34 (2.2%) n=112 (7.3%) n=73 (4.7%) n=61 (4.0%) n=94 (6.1%) Computer/Cyber Data managers Software engineers n=82 (5.3%) n=53 (3.4%) n=24 (1.6%) n=91 (5.9%) n=86 (5.6%) n=50 (3.2%) Note: additional categories included in the survey, but these are the focus here.
  • 15. Sample specific areas of expertise • • • • • • • • • • • • • • • • Air Sea Interaction Atmospheric Radiation Basalt geochemistry Biodiversity Information Networks Carbonate Stratigraphy Chemical Oceanography Coastal Geomorphology Computational Geodynamics Cryosphere-Climate Interaction Disaster Assessment Ensemble data assimilation Geochronology Geoinformatics Geomicrobiology Glaciology Heliophysics • • • • • • • • • • • • • • • Isotope Geochemistry “It’s complicated” Magnetospheric Physics Mesoscale Meteorology Multibeam Bathymetric Data Nearshore Coastal Modeling Paleoceanography Paleomagnetism Permafrost Geophysics Planetology Riverine carbon and nutrient biogeochemistry Satellite gravity and altimetry data processing Tectonophysics Thermospheric Physics Watershed Management
  • 16. Accessing data, models, and software within fields/disciplines: Importance and ease untitled - ec- 08- indomain.pdf How IMPORTANT is it for you to find, access, and/or integrate multiple datasets, models, and/or software (e.g. visualization tools, middleware, etc.) in your field or discipline? (v58) How EASY is it for you to find, access, and/or integrate multiple datasets, models, and/or software (e.g. visualization tools, middleware, etc.) in your field or discipline? (v59)
  • 17. Importance and ease within fields/disciplines 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 IMPORTANT data, tools, models in your field EASE data, tools, models in your field
  • 18. Accessing data, models, and software across fields/disciplines: Importance and ease untitled - ec- 09- spandomain.pdf How IMPORTANT is it for you to find, access, and/or integrate multiple datasets, models, and/or software (e.g. visualization tools, middleware, etc.) that span different fields or disciplines? (v60) How EASY is it for you to find, access, and/or integrate multiple datasets, models, and/or software (e.g. visualization tools, middleware, etc.) that span different fields or disciplines? (v61)
  • 19. Importance and ease across fields/disciplines 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 IMPORTANT data, tools, models across fields EASE data, tools, models, across fields
  • 20. Cooperation/sharing among geoscientists Cooperation/sharing among cyber-developers untitled - ec- 12- current- coop.pdf 3/ 4/ There is currently a high degree of sharing of data, models, and software among geoscientists. (v69) There is currently a high degree of sharing of software, middleware and hardware among those developing and supporting cyberinfrastructure for the geosciences. (v70)
  • 21. Cooperation/sharing among geoscientists and among cyber-developers by fields and disciplines 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 cooperation among geoscientists Cooperation among cyber-developers
  • 22. Collaboration between geo and cyber Sufficient end user training untitled - ec- 13- current- collob.pdf There is currently sufficient communication and collaboration between geoscientists and those who develop cyberinfrastructure tools and approaches to advance the geosciences. (v72) There is currently sufficient geoscience end-user knowledge and training so they can effectively use the present suite of cyberinfrastructure tools and train their students/colleagues in its use. (v73)
  • 23. Collaboration between geo and cyber and sufficient end user training by fields and disciplines 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Collaboration between geo and cyber Sufficient end-user training
  • 24. End user views on sharing data, tools, models, and software untitled - ec- 15- adv- career.pdf Overall, I believe that sharing data, tools, models, and software that I generated will advance my career in the next 3-5 years? (v82) I trust that the data, tools, models, and software shared by other colleagues will be well-documented and reliable. (v83)
  • 25. End user views on sharing data, tools, models, and software by fields and disciplines 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Sharing will advance my career I turst data will be well-documented and reliable
  • 26. Support for sharing from employer and colleagues untitled - ec- 27- eff orts.pdf My employer/organization will most likely value and reward any efforts I make in the shaping and development of EarthCube (v120). Any contributions I might make to the shaping and development of EarthCube will likely be recognized and valued by colleagues in my field/discipline (v122).
  • 27. Support for sharing from employer and colleagues by fields and disciplines 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Employer will value EC efforts Colleagues will value EC efforts
  • 28. End user views on commercial products and applications untitled - ec- 22- com mercial.pdf The EarthCube incorporate commercial products or applications to reduce cost or speed development. (v105) The EarthCube process should generate tools and approaches that benefit commercial products or applications. (v106)
  • 29. End user views on commercial products and applications by fields and disciplines 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Incorporate commercial Benefit commercial
  • 30. Motivation for engagement with EarthCube 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Advancing Advancing Networking Developing Leading to Making my research my teaching opportunities successful new scientific geoscience grant advances data / proposals findings available to the general public Informing resource managers and policy makers Serving my field / profession
  • 31. Support for EarthCube specifying guidelines Support for guidelines using international standards EC should specify guidelines EC should use formal int. standards m(s) = 0.79 (0.19)[n=353, 18] m(s) = 0.84 (0.18)[n=342, 29] The EarthCube initiative should specify guidelines so there is more interoperability and uniformity in discovering, accessing, sharing, and disseminating geoscience data. (v99) Where such standards exist, EarthCube should use formal, internationally approved, geoscience-wide data access/sharing standards and protocols (e.g. ISO, OGC). (v100)
  • 32. Support for collaboration among US govt. orgs. Support for collaboration between US and Intl. orgs. untitled - ec- 26- enable.pdf EarthCube should play an active role in enabling collaboration and coordination of geoscience cyberinfrastructure activities among US government organizations (NSF, NOAA, NASA, Army Corp, etc.). (v116) EarthCube should play an active role in enabling collaboration and coordination between US and international geoscience cyberinfrastructure initiatives and organizations. (v117)
  • 33. Selected elements of success from the Early Career workshop Access/Uploading: Output/Impact: • • • • • • Google earth style interface Accessible data submission interface Standardized meta data on data type, data context, data provenance, etc. for field scientists (with and without internet access) Data security Public accessibility; empower non-specialists Utilization/Operations: • • • • • • • • Community mechanisms to build tools Large data manipulation, visualization, and animation Searchable access by space, time, and context Pull up data and conduct analysis with voice commands Open source workflow management for data processing and user-contributed algorithms in order to facilitate reproducible research Cross-system comparisons; ontology crosswalks for different vocabs in different disciplines Easy integration of analytic tools (R, Matlab, etc.) NSF support for data management • • • • • • Mechanisms to provide credit for work done (data, models, software, etc.); ease of citations; quantify impact Promote new connections between data producers and data consumers Interactive publications from text to data Recommendations system (like Amazon) for data, literature, etc.; Flickr for data (collaborative tagging) Educational tutorials for key geoscience topics (plate tectonics, ice ages, population history, etc.) Gaming scenarios for planet management EarthCube app store; ecosystem of apps
  • 34. Most important challenges of the 21st Century, as identified by NAE • Make solar energy economical • Engineer better medicines • Provide energy from fusion • Reverse-engineer the brain • Develop carbon sequestration methods • Prevent nuclear terror • Manage the nitrogen cycle • Provide access to clean water • Restore and improve urban infrastructure • Advance health informatics Source: http://www.engineeringchallenges.org/ • Secure cyberspace • Enhance virtual reality • Advance personalized learning • Engineer the tools of scientific discovery
  • 36. The complete survey (1544 respondents) is available for exploratory analysis via a new online interface: The URL is http://maxim.ucsd.edu/ecsurvey1544 This version requires Silverlight plugin. As before, it will take a few minutes to load it the first time (because of the size of the survey data file). There are also two additional versions http://maxim.ucsd.edu/openlinkpivot/survey1544.html http://maxim.ucsd.edu/lobsterpot/0.9.32/survey1544.html These do not require a plugin, but these are experimental, and less robust than the first one.