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For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth science data, thus forming a community dedicated to making Earth science data more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of this year’s meeting is "Data for All People: From Generation to Use and Understanding."

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COPDESS [clear filter]
Tuesday, January 18
 

4:00pm EST

Towards an Earth and Space Sciences Knowledge Commons
Our technological and physical expansion into space exemplifies the growing interconnections between Earth and the space environment. The inseparability of the space environment from Earth and life on it reveals cracks and inadequacies in our data and knowledge infrastructure to integrate the different domains. The key to a flourishing community of Earth and space research is in improved knowledge systems (ways of representing our information).

The problem of our outdated data systems is not one of information, but of access. Datasets, disciplines, people, projects, institutions are all siloed, resulting in a lack of awareness and usability across silos that make reuse and collective progress impossible. Yet our increasing awareness of complexity has revealed that the distinctions between the silos are artificial, with each new bit of information further revealing the interconnectedness that pervades our world. As John Muir observed, “When we try to pick out anything by itself, we find it hitched to everything else in the universe.”

We will highlight important active efforts toward improved knowledge representation systems across the Earth and Space Sciences, emphasizing the importance of thinking in graphs/networks, and spark a discussion toward a framework to address the asymmetries: a knowledge commons [McGranaghan et al., 2021].

A knowledge commons is a combination of intelligent information representation and the openness, governance, and trust required to create a participatory ecosystem whereby the whole community maintains and evolves this shared information space. A knowledge commons is predicated on a central movement from a data society to a knowledge and wisdom society.

A knowledge commons is a core ‘technology’ (defined to include both hardware/software and cultural technologies) of the solution for a more inclusive, open, and equitable space community. In this participatory ecosystem, the whole community maintains and evolves the shared space. We believe that the path towards creating this commons lies in an embrace of radical collaboration, new scales of interaction, and the corresponding changes (in thinking, in community structure, and in support) that must accompany this movement.

A group that cuts across NASA, the American Geophysical Union, the MIT Knowledge Futures Group, industry, and academia have been actively exploring the concept of an Earth and Space Data Knowledge Commons, a collection of software and systems for improved information representation of space data and the platform and governance to make them collaborative, accessible, and equitable. That group is animated to converge various pockets of progress across the community in discussion to shape the idea of a knowledge commons, to feature and connect active projects that will help emerge the dimensions of the data that need to be captured, and to cultivate a community of practice to advance the concept.

McGranaghan, R., Klein, S. J., Cameron, A., Young, E., Schonfeld, S., Higginson, A., … Thompson, B. (2021). The need for a Space Data Knowledge Commons. Structuring Collective Knowledge. Retrieved from https://knowledgestructure.pubpub.org/pub/space-knowledge-commons

*Relationship to the theme of “Data for All People: From Data Generation to Data Use and Understanding:"*
We believe that there is increasing awareness for knowledge graphs, yet a lack of understanding for how to build them and, perhaps more importantly, how to link them into knowledge networks and to address the cultural components (e.g., trust and governance) for how to help these systems flourish. The concept of the knowledge commons goes beyond the technological needs of linking data to understand how people interact with the data, share and collectively manage the resource, and use the technology to interact with one another. It is timely to the focus on data for people that will guide the ESIP 2022 Winter Meeting.

Session Notes

Session Recording

Organizers
AC

Agnes Cameron

Knowledge Futures Group
avatar for Caroline Coward

Caroline Coward

Library Group Supervisor, NASA Jet Propulsion Laboratory
avatar for Chris Erdmann

Chris Erdmann

Assistant Director, Data Stewardship, American Geophysical Union (AGU)
avatar for SJ Klein

SJ Klein

Interlacer, the Underlay Project
avatar for Ryan McGranaghan

Ryan McGranaghan

Data Scientist/Aerospace Engineering Scientist, ASTRA LLC
Space scientist, engineer, data scientist, designer, podcast host. Observer of beauty in liminal spaces. I believe in being led around by your curiosity.

Tuesday January 18, 2022 4:00pm - 5:30pm EST
TBA
  Breakout, Breakout
 
Wednesday, January 19
 

1:30pm EST

Unearthing semantic web resources for ESIP communities
The need for common data standards and domain knowledge has reached a precipice. Across ESIP it is no different; ongoing, potentially disparate, conversations about data quality, resource discovery, and domain knowledge are prevalent and yet implicitly rely on a shared view or interpretation.

In this session we bring together members of active ESIP clusters to share topics of interest, needs and gaps with respect to data standards and domain knowledge we endeavour to reuse in some human and machine readable format – e.g. controlled vocabularies, data models, thesauri, taxonomies, classifications, property graphs, ontologies etc.

The following questions, while not exhaustive, are indicative of relevant topics for discussion:
What has prompted the interest in data standards and/or semantics?
What is the goal or use-case?
What is currently available in the space and is it reusable?
Is the community making contributions to any resources?
Where are the gaps in knowledge, standards, or structure?

View Recording
View Notes

Organizers
avatar for Brandon Whitehead

Brandon Whitehead

environmental data scientist, manaaki whenua -- landcare research

Wednesday January 19, 2022 1:30pm - 3:00pm EST
TBA
  Breakout, Breakout

3:00pm EST

Community Development of the SWEET semantic system for Earth and Environment Data - A Call for Interest
The Semantic Web for Earth and Environmental Terminology (or SWEET) is a system, created at NASA JPL by the late Rob Raskin and colleagues, reflecting a semantic web technology approach for working with Earth and environmental data. ESIP has been the steward of SWEET more recently. As a knowledge organization system (KOS), specifically a semantic technology, SWEET is applicable and relevant for various disciplines from Earth science to library science to knowledge graphs and others.

This session will bring together anyone interested in SWEET, and will provide an overview and history of the system. It will also explore and solicit interest in developing SWEET to support data from Earth and environmental disciplines, such as disciplines represented in SWEET itself, those of attendees and beyond. ESIP Clusters on disciplines within the scope of SWEET are encouraged to attend.

From attendees, we hope to better understand limitations, gaps, problems with dealing with their disciplinary data. And how SWEET can help. The audience is encouraged to express how they may like to use SWEET, how it may be developed to be better used, etc.

We also hope to identify subject-matter experts (SME) of disciplines covered by SWEET terminology, and any disciplines that may be added. And determine if they are interested in serving as neutral SME, potentially developing such things as local SWEET definitions, verying accuracy of Wikidata definitions, etc. For example, oceanographers in general, or ESIP marine clusters in particular, may be interested in developing SWEET oceanography content, and providing conent about oceanographic data that may need semantic annotations (and thus specific terms in SWEET).
Potential benefit of this will be a pool of potential contributors, and delegation of development tasks. By involving Earth science practitioners, SWEET can be developed to a greater degree of precision; and the current vocabulary (and conceptualization as expressed by it and publications) can be verified for accuracy. If pursued, this would represent a community development approach for SWEET.

This session is relevant for the theme of 'Data for All People: From Data Generation to Data Use and Understanding' in the following manner.
SWEET is a vocabulary and semantic resource open to development for all people and Earth science and data communities. It can help with understanding data, and data use, particularly if further developed. In a collaborative development approach, it can reach more potential applications and persons from diverse backgrounds. Earth observation data is useful for all people across the lifecycle from collection or generation to use to understanding. This translates also to SWEET as a system that can terminologically and semantically support that data and knowledge base.

How to Prepare for this Session1) Review general content
2) Review content on SWEET
3) Spend some time thinking about how your data may find use in SWEET


(written by R.Rovetto, please contact with any questions or interest. https://ontospace.wordpress.com/contact)

Session Notes

Session Recording

Organizers
avatar for Robert Rovetto

Robert Rovetto

Concept engineer. Aspiring PhD student, Seeking work & study opportunities, worldwide (please contact to offer)
Conceptual data modeler, Formal ontologist, Terminologist, Philosopher, and Aspiring PhD student, actively applying & searching for both employment and study opportunities and collaborations, globally. I develop conceptual & semantic models, ontologies, terminologies, graph diagrams... Read More →
avatar for Brandon Whitehead

Brandon Whitehead

environmental data scientist, manaaki whenua -- landcare research

Wednesday January 19, 2022 3:00pm - 4:00pm EST
TBA
 
Thursday, January 20
 

4:00pm EST

A Framework for Knowledge Organization & Modeling of Space Data from Astronomy to near-Earth Space Activities
The near-Earth space environment is seeing an increase in activity as more nations and organizations engage in astronomical and spaceflight endeavors. This translates to a growing wealth of data and knowledge we can tap for current generations and posterity. Interdisciplinary and diverse perspectives can be applied to leverage that content via: data analysis, search, modeling; informatics, knowledge management; knowledge representation and reasoning (KRR), artificial intelligence (AI); etc. Example techniques are the development of knowledge organization systems (KOS), such as controlled vocabularies, thesauri, metadata schemas, conceptual data models, semantic models, ontologies and knowledge graphs [Rovetto, 2017].
  • Space data is understood to include: data about exo-atmospheric space (colloquially: outerspace) phenomena, e.g., space science data such as solar and space weather, solar system, planetary; data from observations of that space; data collected from satellite spacecraft; data about satellites & their activity & contents; celestial body samples; spatio-temporal concepts; misc.
Goals:
This session aims to bring together persons and organizations interested in space databroadly construed (from astronomy to astronautics to other space sceince and broader space-related topics). Speakers will discuss data science, space and knowledge modeling topics. The session hopes to:
(i) identify various types of space data; desiderata thereof, gaps or problems with dealing with the data; And...

(ii) discuss whether and how presented content and KOSs can be useful, e.g., identifying techniques to organize and analyze space data, and terminology, with an emphasis on knowledge representaiton/modeling, semantic data modeling, conceptual modeling, graph structures, and MBSE (model-based systems engineering). Sharing experiences are encouraged, e.g., challenges, desiderata with your space data, or with specific types or technology related to KOS or semantic technology. And...

(iii) Identify interest and formal support for the KOS/space ontology project presented [Space knowledge modeling] that will be presented.
  • Project goals include exploring the utility of ontologies to support space data, and specific Earth-impacting phenomena such as space debris [Rovetto, ESIP FundingFriday, 2020] [Rovetto, ESI, 2015], astronomical phenomena, and spaceflight observations and operations [Rovetto, & Kelso, 2016][O'Neil, Rovetto, 2020-2021].
  • Attendees may be interested in supporting the projects concepts for developing international space data systems [Rovetto, 2016] for the global community, if not for specific organizations.
The session will hopefully draw interest (and be attended by) persons and organizations with formal opportunities--work collaborations and educational--for indivdiuals interested in these topics, thereby fostering cooperative, educational and career-building values.

Relevance
This session is relevant for this years theme of 'Data for All People: From Data Generation to Data Use and Understanding' in various ways. First, trust in data is very pertinent for the domain of space. In particular, spaceflight has historically been a governmental or military domain, where security and trust are both critical and challenging. Ideas about how to facilitate and create trust in that and other space communities are in demand, and relevant to AI techniques, and social and societal aspects, etc. Second, applications & benefits of spaceflight activities has reached people across the globe [Rovetto, 2013]. These include Earth observation, e.g., weather and environmental data; technological spinoffs; biological and medical experimentation; and scientific discovery via astronomical observations, e.g., stellar physics, observations of the sun; origins of Earth and planetary evolution; etc. In recent times, some companies ambitiously develop fleets of orbiting spacecraft provide their services. This simultaneously means a promulgation of both data and space-based objects.By bringing together persons interested in space data from astronomy to astronautics, we can better identify avenues to formally cooperate, innovate, and potentially share data, information and knowledge.

View Recording
View Notes

How to Prepare for this Session
1) Review generic material on knowledge organization systemsrepresentationontologysemantic & conceptual modeling, etc. Examples include:

2) Review description references & related references: 
Contact: https://ontospace.wordpress.com/contact
Services (ontology & vocabularies).
 

Organizers
avatar for Robert Rovetto

Robert Rovetto

Concept engineer. Aspiring PhD student, Seeking work & study opportunities, worldwide (please contact to offer)
Conceptual data modeler, Formal ontologist, Terminologist, Philosopher, and Aspiring PhD student, actively applying & searching for both employment and study opportunities and collaborations, globally. I develop conceptual & semantic models, ontologies, terminologies, graph diagrams... Read More →

Thursday January 20, 2022 4:00pm - 5:30pm EST
TBA
  Breakout, Breakout
 


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