ecteg assembly synthesis workshop day 1 presentation - earthcube functions
DESCRIPTION
The presentation slides of Day 1 at the EarthCube Test Enterprise Governance Assembly Synthesis Workshop held April 16-18 in Tucson, AZ. Slides include an overview of the week's agenda, goals, and preview of the workshop. As well as what the EarthCube team has learned thus far in terms of EarthCube Governance Functions.TRANSCRIPT
4/16/2014 1
Define Functions:Short, medium and
long-term
Recap 1: What we learned
about what EarthCube can and needs to do.
Finalizing Governance Structures
Day 1
Consensus on:Primary functions of
EarthCube GovernanceClear language defining
what exactly EarthCube is.
Day 2 Day 3
Consensus on:Major components of
governance.Specific design of the leadership structure.
Consensus On:
An EarthCube Governance System that supports the
commons including:
• It’s primary functions
• It’s primary structures and details about how
those structures function
• How it integrates with existing efforts
• How to gather feedback
Selecting Governance Structures &
Incorporating Existing Structures
Define EarthCube Mission/Vision:
Clear, specific statements that
explain and clarify.
Recap 2: What governance structures already
exist and were envisioned
Developing Governance Structures
Exploring How to Vet the Governance
Model
4/16/2014 2
EarthCube Defined and Clarified
How we got here
4/16/2014 3
4/16/2014 4
Roadmaps & Concept Designs
End-user workshops & Stakeholder Alignment
Test governance award
Building blocks, RCNs, and conceptual design awards
The EarthCube journeyWhite Papers & Expressions of Interest
Charrettes
4/16/2014 5
Five formalized groups with charters or guidelines
A half dozen or more workgroups with specific goals
Years of previous work to remind us what EarthCube can achieve and could focus on
Over a hundred engaged stakeholders who have informed the governance process
Two months until a fully developed plan will be shared at the All Hands Meeting
Where we’re at on Governance
4/16/2014 6
EarthCube isn’t a fresh slate – we’ve been working on this for years and doing good work
We are moving too slowly – governance was needed yesterday and it’s time to get concrete
What do you mean we’re still trying to define EarthCube? We’ve done this 10 times before (or 30!)
We shouldn’t have jumped to assuming we need these specific Councils and workgroups
What’s EarthCube? I don’t get it.
What we’re hearing
Where we are today
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Walk out of this meeting with consensus on…
EarthCube – what it is, what it can be, what we can say about it
EarthCube Governance – what is needed now and what will need to be developed over time
Our charge
4/16/2014 9
This means we need to be…
Who is EarthCube?
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4/16/201411
End User Scientists
Cyber & Science Infrastructure
ExpertsSocietal Interests
Government, including: Elected officials
Science funding agenciesRegulatory/service agencies
Environmental resource managers
Commercial industry
Professional associations, NGOs, standards
organizations, & scholarly journals
Others, such as K-12 educators, citizen scientists,
museums & archives, and libraries
Data facilities
Cyber-infrastructure and high performance
computing experts
Software engineers
Designers/ developers of
geoscience instrumentation
Atmospheric and Space Weather,
Biologists/ Ecosystem,
Climate, Critical Zone, Computer,
Geologists, Geophysicists, Hydrologists, Information,
Oceanographers, Physical
Geographers, Polar, Social, and
others
Size of box does NOT indicate relevance
End User Feedback
4/16/2014 12
NSF GeoVision 2009
Fostering a sustainable future through a better understanding of our complex and changing planet.
SCIENCE CHALLENGES
Scientific Grand Challenges: Central themes
• Multi-disciplinary science to further understand our environment– E.g. physical, chemical, and biological processes in ocean ecosystems
• Understand, adapt to, or propose changes in scientific approach– Understand and test hypotheses and underlying controls of current
science– Improved prediction capabilities
• Better use of available data or new ways of collecting/distributing data– Chronological & Time-Series Data (distribution and analysis)– Mutli-scale modeling – beyond increasing resolution, e.g. translation of
variables, coupling between models, uncertainties– Acquisition, assimilation, and modeling in cross-cutting regions
(Integration of long-tail scientific data)
Scientific Grand Challenges: Central themes
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• Improved collaboration and coordination among disparate funded projects/programs and disciplines; including improving upon the use of existing facilities and observatories
• Communication of science (& data) to society– Improving science-based decision making in
public policy– Workforce development & “data literacy”/”data
savviness”
Specific Re-occurring Science Challenges
• Better understanding of anthropogenic activities (beyond climate change) over time– E.g. availability of drinking water, land use (coastal
development, development in hazards zones), transportation of invasive species
• Need for a 4D (Spatial & Temporal) Framework for the Earth – Multi-scale: local, regional, global
• Climate modeling & weather prediction*• Ocean modeling & biological impacts*
*possibly a function of workshops funded
TECHNICAL CHALLENGES
TECHNICAL CHALLENGES
Technical Challenges: Central themes
• Search and Access– Lack of awareness of existing tools and resources– Need for improved tools to enhance discoverability– Need for increased awareness of resources within and
outside of specific domains.– Need to incorporate legacy/dark data– Quality and formatting barriers to accessing found data
• Storage– Lack of domain specific databases
Technical Challenges: Central themes
4/16/2014 21
• Tools– Software and algorithm development need to keep pace with
research advances.– Need for Increased visualization capabilities, simpler tools– Lack of tools to facilitate capturing metadata and
documentation• Sustainability
– Need support for long term archiving and retrieval– More data producers than managers– Need for Increased training in data use and stewardship– Need for easier ways to move and share large data sets
Technical Challenges: Central themes
• Interoperability– Inconsistent/ incomplete metadata– Formats and archiving standards vary across projects, and
domains– Compliance mechanisms for providing metadata at point of
acquisition– Increased uncertainty comes w/ new sources, uncertainty
needs to be communicated• Cultural
– Lack of incentives for sharing data. Academic culture still very publication focused, need for better ways of recognizing academic merit of data.
– Need for more communication between data producers and data managers and tool builders.
– Need for different types of support for diverse users.
What is EarthCube?
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Functions related to specific audiences
Guidance to NSF on requirements for a data management plan in funding opportunities
Actively connecting to the many related efforts including ESIP and OGC.
Engagement of stakeholders (e.g. professional societies, publishers, government, commercial)
End user engagement and support, including onboarding new audiences to EarthCube
Alignment of the funded projects (interoperability, connections to end users)
Software voice and coordinating software with infrastructure
Professional development for graduate students
4/16/2014 25
Issues that need attention
IT/Legal advice associated with end-users access to resources
Mitigating the barriers created by academic culture (e.g. through awards/incentives)
How to best support data preservation
Software Academic/ Professional Career Paths
Communications – spreading the word about EarthCube across academic, private sector, and government.
Managing tensions between structure and agility
Maintaining transparency in decision-making
Creating feedback loops among different stakeholders and governance structures
4/16/2014 26
Other potential functions
Data quality and standards (leveraging what already exists)
Funding and sustainability
Knowledge management (including periodic systemic review of contributions to the EC body of knowledge)
Brokering/ facilitating cross-disciplinary connections
Facilitating data reuse
Enable new areas of research
Reflection: What functions are critical…
4/16/2014 27
…right now. We need them without delay.
…in the next year. We need to develop them soon.
…in the future, but they aren’t necessary immediately.
EarthCube Defined
4/16/2014 28
4/16/2014 29
A community-driven process for the development of a cyberinfrastructure 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. EarthCube is an environment where stakeholders can bring together existing and new tools, models, databases, software, and collaboration spaces to facilitate the conduct of cross-disciplinary and interdisciplinary research to transform the way we do science.
Definition?