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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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Tuesday, January 18
 

11:00am EST

Opening Plenary: Moving beyond Principles to Practice - Engaging Indigenous Communities

Speakers
avatar for Stephanie Russo Carroll

Stephanie Russo Carroll

Assistant Professor, University of Arizona
Dr. Stephanie Russo Carroll (Dr. Carroll or Stephanie) is Assistant Professor of Public Health, Associate Director for the Native Nations Institute, and Assistant Research Professor at the Udall Center at the University of Arizona. Her interdisciplinary research group, the Collab... Read More →
avatar for Valoree Gagnon

Valoree Gagnon

Assistant Professor, Michigan Technological University
Gagnon, Valoree S  (Korean, British/Irish/Scottish), Michigan Technological University Valoree S Gagnon (she/her/ki/kin) serves as an Assistant Professor in the College of Forest Resources and Environmental Science, and the Director for University-Indigenous Community Partnerships... Read More →
avatar for Kathleen Smith

Kathleen Smith

Kathleen Smith is an enrolled tribal member of the Keweenaw Bay Indian Community, located in the Upper Peninsula of Michigan. She is presently in a new position in the Division of Biological Services at the Great Lake Indian Fish and Wildlife Commission (GLIFWC), in northern Wisconsin... Read More →
avatar for Emily Shaw

Emily Shaw

PhD Candidate, Michigan Technological University
Emily Shaw is settler scholar living and working within the Anishinaabe Ojibwe homelands of Northern Michigan. Currently, Emily is a PhD candidate, at Michigan Technological University, in environmental engineering doing research that bridges knowledge systems to understand mixture... Read More →


Tuesday January 18, 2022 11:00am - 12:30pm EST
TBA

12:30pm EST

Break
Tuesday January 18, 2022 12:30pm - 1:30pm EST
TBA

1:30pm EST

AI-Ready Data: Draft Standard and Use Cases
The ESIP Data Readiness cluster has been working toward defining a community standard for AI-ready data. We surveyed AI and machine learning researchers about their data needs, and learned from similar efforts. Meanwhile, the NASA Earth Science Data System ML Training Data Interoperability Working Group has been working towards a community guideline on how to ensure the interoperability of training data for Earth science data. Both work will benefit from broad community contribution in this interactive session to further understand the current gap of AI-ready data.

This session will first present a first draft of the AI-ready data standard based on a recent community survey, defining the factors that are most important in determining AI-readiness for open datasets. Then we will feature three use cases representing different types of Earth science datasets. Each use case will showcase how data users prepare the datasets to ensure AI-readiness for model training and/or data reuse.

The session will conclude with a use-case driven discussion guided by the draft AI-ready data standard and training data interoperability guideline. The final goal of the session is to identify the next step for both groups to improve the community-driven standard and guideline that allows data providers/producers to improve the AI-readiness and training data interoperability via data stewardship and service/tool development. Such improvements are driven by the need of data users and will maximize the value of Earth science data for solving pressing societal challenges.

Agenda:
13:30–13:35: Welcome & Setting the stage [Douglas]13:36 - 13:50 Preliminary results of AI-ready data survey [Tyler Christensen]
13:51–14:15: Use cases                     
- LCMAP and Landsat ARD data - [Steve Labahn & Jesslyn Brown, USGS]
- Climate model data downscaling - [Seth McGinnis, NCAR]                 
- Forecast data postprocessing - [Stephen Haddad, UK Met Office]                     
14:16–14:20: Breakout room setup
14:21–14:55: Breakout room discussion
14:56–15:00: Next steps & wrap-up

View Recording
View Notes

Recommended ways to prepare for this session: Review materials for the ESIP Data Readiness Cluster here: https://wiki.esipfed.org/Data_Readiness.

Organizers
avatar for Tyler Christensen

Tyler Christensen

Data Management Architect, NOAA / NESDIS
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →

Tuesday January 18, 2022 1:30pm - 3:00pm EST
TBA
  Breakout, Breakout

1:30pm EST

Building Strong Communities Around Open Source Software & Open Science Part 1
Building Strong Communities Around Open Source Software & Open Science - Part 1

NASA is making a long-term commitment to building an inclusive open science community over the next decade. Open-source science is a commitment to the open sharing of software, data, and knowledge (algorithms, papers, documents, ancillary information) as early as possible in the scientific process. This session will offer a platform for building awareness of and facilitating discussion around NASA’s open science efforts.

This session will focus on NASA-funded efforts to build an open science community around open source software. Those open source software projects that thrive do so because they have broad community support. Speakers  NASA's open science efforts will discuss how they build community around software. This will be followed by an open discussion on improving community outcomes (and open source/open science projects).

The session will be followed by Building Strong Communities Around Open Source Software & Open Science - Part 2 which will focus on efforts to bring Open Source Science to the community.

View Recording
View Notes

Organizers
avatar for Sara Lubkin

Sara Lubkin

NASA ESDIS
avatar for Jeff Siarto

Jeff Siarto

Director of User Experience, Element 84
avatar for Elena Steponaitis

Elena Steponaitis

NASA Headquarters

Speakers
avatar for Annie Burgess

Annie Burgess

Lab Director, ESIP
SO

Steve Olding

ESDSWG Coordinator, ESDIS Project
avatar for Jenny Hewson

Jenny Hewson

Lead Scientific Analyst, NASA ESDIS/SSAI
avatar for Alexey Shiklomanov

Alexey Shiklomanov

Research scientist, NASA Goddard Space Flight Center



Tuesday January 18, 2022 1:30pm - 3:00pm EST
TBA
  Breakout, Breakout

1:30pm EST

ESIP Short Course Materials: Development of recommendations and next steps
In 2012, ESIP’s Data Stewardship Committee produced a set of 34 related educational modules called the Data Management Short Course for Scientists (Short Course) targeted to research scientists on RDM and data stewardship related topics. These succinct educational modules were some of the first to be created in this topic area, and also the first put together to form a cohesive whole of modules under four key categories: The Case for Data Stewardship; Data Management Plans; Local Data Management; and Responsible Data Use. Data Science Education is a critical part of enabling Data for All People, both with respect to creation, use and understanding of data. As part of the innovation lifecycle, the Data Stewardship Committee has undertaken a process of reviewing these Short Course modules and this working session will discuss the outcomes of that review process, determine the status of the ESIP Short Course modules, and plan for future work that will maintain the currency, relevance and value of these resources. Future work may involve revising or deprecating the Short Course modules and filling gaps in topics either by the creation of new modules, or identifying other educational materials to recommend.

Recommended ways to prepare for this session: Visit the Short Courses in the ESIP Data Management Training Clearinghouse.

Organizers
avatar for Amber Budden

Amber Budden

Director for Learning and Outreach, NCEAS
Open science facilitator, community manager and data literacy trainer. I lead the NCEAS Learning Hub and short course activities and co-lead DataONE and the Arctic Data Center, with a focus on supporting the community in open science learning and practices... Read More →
avatar for Robert R. Downs

Robert R. Downs

Senior Digital Archivist, Columbia University
Dr. Robert R. Downs serves as the senior digital archivist and acting head of cyberinfrastructure and informatics research and development at CIESIN, the Center for International Earth Science Information Network, a research and data center of the Columbia Climate School of Columbia... Read More →
avatar for Nancy Hoebelheinrich

Nancy Hoebelheinrich

Principal, Knowledge Motifs LLC
See my LinkedIn profile at: https://www.linkedin.com/in/nancy-hoebelheinrich-0576ba3

Tuesday January 18, 2022 1:30pm - 3:00pm EST
TBA
  Breakout, Breakout

1:30pm EST

Understanding Schema.org: Exploring its utility for research data on the web
In the world of metadata schemas, there is nothing new about schema.org. You'll find the same types of structures and properties as most other schemas for describing datasets. The usefulness of schema.org is not in its comprehensive coverage of the discipline or its implementation simplicity. Rather, it draws its usefulness from how it's delivered from one party to another. By embedding metadata into webpages, schema.org offers a solution to the social challenges of sharing and adopting common protocols for distribution and dissemination. Since almost all repositories have a website to describe these data, schema.org leverages this same delivery channel to provide structured metadata to the world. Websites with schema.org metadata headers are already being indexed by Google's Dataset Search and EarthCube's GeoCODES project. The schema.org cluster has drafted guidelines to help implementers describe scientific datasets in webpages. Because of the enthusiasm surrounding the guidelines, the cluster seeks to have the ESIP Assembly endorse these guidelines.

This session seeks to unite newcomers to schema.org with current adopters to share use case stories, examples of implementation successes, and discuss how schema.org can help address the FAIR principles. If you are looking to better understand schema.org, bring your questions and ideas as together we discover what schema.org can do for you.

View Notes
View Recording

Agenda
  • Introduction to Schema.org & the ESIP Cluster [5min]
  • Success Stories from the Cluster [3-5min each]
    • Nick Jarboe, Magnetics Information Consortium (MagIC) - implementation story 
    • Melinda Minch, Polar Data Discovery Enhancement Research (POLDER)
    • Matt Jones & Stephen Richard, Harvester Interoperability at DataONE and EarthCube
  • Community Use Cases [3-5min each]
    • Pier Luigi Buttigieg, IOC-UNESCO IODE
    • Kathe Todd-Brown, Soil Ontology and Informatics
    • Andrea Thomer, the need for cross-discipline data discovery
  • Open Discussion & Dialogue
    • What can Schema.org do for these community use cases?
    • Where is the line between describing data discovery and data use with Schema.org?
  • Update on Submitting Science-on-Schema.org Guidelines for ESIP Assembly Endorsement

Recommended ways to prepare for this session:
Review:
1) https://science-on-schema.org
2) https://github.com/ESIPFed/science-on-schema.org/blob/master/guides/Dataset.md

Organizers
avatar for Adam Shepherd

Adam Shepherd

Technical Director, BCO-DMO
Architecting adaptive and sustainable data infrastructures.Co-chair of the ESIP schema.org clusterKnowledge Graphs | Data Containerization | Declarative Workflows | Provenance | schema.org

Speakers
avatar for Matt Jones

Matt Jones

Director of Informatics R&D, DataONE / NCEAS / UC Santa Barbara
DataONE | Arctic Data Center | Open Science | Provenance and Semantics | Scientific Synthesis
avatar for Stephen Richard

Stephen Richard

Independent contractor, U. S. Geoscience Information Network
Stephen Richard is an independent contractor working from Tucson Arizona. He is currently involved in projects to implement a Geoscience ontology for the Loop3D project, the Technical Team for the EarthCube Office, and applications of geoscience vocabularies in AI applications. Interests... Read More →
avatar for Kathe Todd-Brown

Kathe Todd-Brown

Assistant Professor, University of Florida
I\\'m a computational biogeochemist who uses data and mathematics to study how dirt breaths.
NJ

Nick Jarboe

Data Repository Manager/Data Analyst, Scripps Institution of Oceanography, UCSD
I have a PhD in Earth Science from UCSC studying the paleomagnetism and geochronology of the Colombia River large igneous province. I have been at Scripps working on the MagIC paleo and rock magnetic database and repository (earthref.org/MagIC) since 2011. We are a small domain specific... Read More →
avatar for Pier Luigi Buttigieg

Pier Luigi Buttigieg

Digital Knowledge Steward / Senior Data Scientist, Helmholtz Metadata Collaboration / GEOMAR Helmholtz Institute for Ocean Research
I research and develop advanced, operational-grade, and internationally adopted knowledge representation (KR) technologies for ecology, planetary science, and Sustainable Development. I apply these solutions in mobilising and analysing complex and high-dimensional data sets, while... Read More →
avatar for Andrea Thomer

Andrea Thomer

Assistant Professor, University of Michigan School of Information
I'm an information scientist interested in biodiversity and earth science informatics, natural history museum data, data curation, information organization, and computer-supported cooperative work! 


Tuesday January 18, 2022 1:30pm - 3:00pm EST
TBA
  Breakout, Breakout

3:15pm EST

Coffee Break Networking
Tuesday January 18, 2022 3:15pm - 3:45pm EST
TBA

4:00pm EST

Building Strong Communities Around Open Source Software & Open Science Part 2
Building Strong Communities Around Open Source Software & Open Science - Part 2

This is a continuation of Building Strong Communities Around Open Source Software & Open Science - Part 1 with a focus on open science communities.

NASA is making a long-term commitment to building an inclusive open science community over the next decade. Open-source science is a commitment to the open sharing of software, data, and knowledge (algorithms, papers, documents, ancillary information) as early as possible in the scientific process. This session will offer a platform for building awareness of and facilitating discussion around NASA’s open science efforts.

This session will focus on NASA-funded efforts to build an open science community around open source software. Those open source software projects that thrive do so because they have broad community support. Speakers NASA's open science efforts will discuss how they build community around software. This will be followed by an open discussion on improving community outcomes (and open source/open science projects).

View Recording
View Notes

Organizers
avatar for Sara Lubkin

Sara Lubkin

NASA ESDIS
SO

Steve Olding

ESDSWG Coordinator, ESDIS Project
avatar for Jeff Siarto

Jeff Siarto

Director of User Experience, Element 84
avatar for Elena Steponaitis

Elena Steponaitis

NASA Headquarters

Speakers
avatar for Cynthia Hall

Cynthia Hall

Community Coordinator, NASA Transform to Open Science/SSAI
NASA's move to build a more open science culture, through community engagement, curriculum development, and incentive structures.
avatar for Julia Lowndes

Julia Lowndes

Openscapes
Julia Stewart Lowndes, PhD is founding director of Openscapes. She is a marine ecologist and champion for making science more open, efficient, inclusive, and kind. Working at the intersection of actionable environmental science, data science, and open science, she is a Mozilla Fellow, National Science Foundation Better Scientific Software Fellow... Read More →
avatar for Erin Robinson

Erin Robinson

Co-Founder, Metadata Game Changers LLC
Erin works at the intersection of community informatics, Earth science and non-profit management. Over the last 10+ years, she has honed an eclectic skill set both technical and managerial, creating communities and programs with lasting impact around science, data, and technology... Read More →
avatar for Jenny Hewson

Jenny Hewson

Lead Scientific Analyst, NASA ESDIS/SSAI



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

4:00pm EST

Public Questions vs Open Datasets in U.S. Federal Environmental Governance
The United States federal government makes available a great number of datasets around environmental governance. But how easy are these datasets to use in answering real questions from environmental justice advocates?

Building on some of the work and ideas from this summer’s session “Designing a Public Portal for Participatory Environmental Governance”, participants will engage with questions from various environmental justice stakeholders and advocacy groups, attempting to map questions to public datasets using new tools provided & researched through the ESIP Lab-funded project “Developing an Environmental Enforcement Data Portal for Grassroots and Congressional Action” and their own savvy and ingenuity.

For those who joined this summer's session: welcome back, let us show you all the new things we've built!

For those who are new: welcome, we have lots to show you!

What to expect
  • This is a high-participation session! Come ready to roll up your sleeves.
  • Ideally we'll have a mix of attendees: people totally unfamiliar with this space, people who know EPA datasets really well, etc. It's helpful for us to get a range of perspectives; come as you are!
  • The majority of the session will be in team breakouts, working together to solve specific challenges. We've designed these challenges so that your work will materially advance the project.
  • Expect to walk away with a better understanding of the needs of environmental justice advocacy groups and the tools at their disposal (including some we are building).


Recommended ways to prepare for this session:

View Recording
View Notes

Organizers
avatar for Kelsey Breseman

Kelsey Breseman

Rita Allen Civic Science Fellow, Environmental Data & Governance Initiative
Governmental accountability around public data & the environment. Decentralized web. Intersection of tech & ethics & civics.
avatar for Megan Raisle

Megan Raisle

Environmental Data and Governance Initiative

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

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

5:30pm EST

Break
Tuesday January 18, 2022 5:30pm - 6:00pm EST
TBA

6:00pm EST

Happy Hour
Tuesday January 18, 2022 6:00pm - 7:30pm EST
TBA
 
Wednesday, January 19
 

11:00am EST

Applying Use Cases to the Biological Data Standards Primer
The ESIP Biological Data Standards Cluster has been working on a primer for data managers new to biological data standards. After several rounds of community feedback, the cluster chose to share an initial version that was published to the ESIP Figshare (https://doi.org/10.6084/m9.figshare.16806712). Now that the primer is available, the cluster is beginning to look at use cases associated with the primer to help us determine 1) What questions come up when you work through the primer? 2) How can we help people using the primer? 3) What next steps become evident?

This session with focus on the first question in the primer "Do you want to provide context and understandability to your data?". We will have a round of lightning talks on the four metadata standards provided as responses in the primer to this question (CSDGM, EML, ISO, and MIxS). Representatives for these standards will provide information that will help users select the metadata standard for the data they are working with. Following the lightning talks we will go into breakout groups with a dataset and work through the process of selecting a metadata standard. We will use the information gathered from this session to guide our next steps in the cluster such as a creating a decision tree and/or instructional videos.

How to prepare for this session:
1. Review the primer infographic.
2. Consider how your current biological data workflows make use of (or don’t make use of) the tools and techniques suggested in the primer.

View Recording
View Notes

Organizers
avatar for Abby Benson

Abby Benson

Biologist, U.S. Geological Survey
DL

Diana LaScala-Gruenewald

Monterey Bay Aquarium Research Institute
avatar for Robert McGuinn

Robert McGuinn

Conservation Biologist / Data Systems Manager, NOAA/NCEI/Northern Gulf Institute
Robert McGuinn is a Research Program Manager at the Northern Gulf Institute, a NOAA Cooperative Institute which is affiliated with the National Centers for Environmental Information in Stennis, Mississippi. He is also the Data Systems Manager for the National Marine Fisheries Service's... Read More →
avatar for Erin Satterthwaite

Erin Satterthwaite

California Sea Grant & Scripps Institution of Oceanography
Marine ecology | International coordination | Ocean observations | Diverse engagement | Food | Surfing | Backpacking | Biking

Wednesday January 19, 2022 11:00am - 12:30pm EST
TBA
  Breakout, Breakout

11:00am EST

Improving "FAIRness" and "Fairness" of AI/ML in Geoscience
Many scientists are actively experimenting AI/ML methods to either replace the conventional methods or improving the existing data products to higher accuracy and resolution. However, most people complains that the experiments reported in research literature are very difficult to neither reproduce nor reuse. The source code and notebooks and associated data, models, and results are hard to find, access, interoperate, and reuse. Meanwhile, the trained models are often biased towards the majority and common patterns due to sampling strategy or natural distribution. These issues are significantly harming the usability and trustworthy of AI/ML in geoscientific application. This session aims to solicit community experiences, opinion, and vision to enhance the FAIRness and fairness of AI/ML.

View Recording
View Notes

Organizers
avatar for Annie Burgess

Annie Burgess

Lab Director, ESIP
avatar for Cindy Lin

Cindy Lin

Cindy Lin is a Postdoctoral Fellow at the Atkinson Center for Sustainability, affiliated with the Department of Information Science. In Fall 2022, she will be an assistant professor at Pennsylvania State University’s College of Information Sciences and Technology.Her current research... Read More →
avatar for Michael Mahoney

Michael Mahoney

Open Source Intern, RStudio
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Ziheng Sun

Ziheng Sun

Research Assistant Professor, George Mason University
My research interests are mainly on geospatial cyberinfrastructure and machine learning in atmospheric and agricultural sciences.

Speakers
avatar for Daniel Katz

Daniel Katz

Chief Scientist, NCSA; Research Associate Professor, CS, iSchool, ECE, University of Illinois
Dan is Chief Scientist at the National Center for Supercomputing Applications (NCSA) and Research Associate Professor in Computer Science, Electrical and Computer Engineering, and the School of Information Sciences (iSchool), at the University of Illinois Urbana-Champaign. In past... Read More →
avatar for Jianwu Wang

Jianwu Wang

Associate Professor, University of Maryland, Baltimore County
Dr. Jianwu Wang is an Associate Professor at the Department of Information Systems, University of Maryland, Baltimore County (UMBC). He is also an affiliated faculty at the Joint Center for Earth Systems Technology (JCET), UMBC. He received his Ph.D. degree in Computer Science from Institute of Computing Technology, Chinese Academy of Sciences in 2007. His research interests include Big Data Analytics, Scientific Workflow, Distributed Computing, Service Oriented Computing. He has published 110+ papers with... Read More →
avatar for Fotis Psomopoulos

Fotis Psomopoulos

Researcher, Institute of Applied Biosciences, Centre for Research and Technology Hellas



Wednesday January 19, 2022 11:00am - 12:30pm EST
TBA
  Breakout, Breakout

11:00am EST

Is the Earth Science Data Management Community Ready For Usage Based Discovery?
Usage Based Discovery (UBD) is a new paradigm for dataset discovery that depends on the broad implementation of open science best practices across a variety of Earth Sciences domains. Scientific journals and other research outlets promote the reproducibility of research results by exposing the data that were used to create scientific analyses and data products. Over the past three ESIP federation meetings, our cluster has held hackathons focused on harvesting dataset usage relations from these sources. The Cluster has also collaborated on a graph based data discovery and visualization framework to expose the information that we have collected. These activities allowed us to explore and understand the UBD concept, and we think this new paradigm promises to improve the data management enterprise and reach a broader user base, thereby maximizing the benefit of the Earth Sciences to society.

  • Introduction - 15 min
    • Introductions and session overview - 5 min
    • Usage Based Discovery Cluster Accomplishments and Next Steps - 10 min
  • Invited Talks - 30 min
    • Publink (Madison Langseth) - 15 min
    • Coleridge Initiative (Julia Lane and Gizem Korkmaz) - 15 min
  • Sense Making [Slido Poll] includes selection of breakout topic so we can decide how many breakout rooms to open. - 5 min
  • Future of UBD at ESIP Breakout Discussion - 35 min: 
    Participants will self organize into breakout session and discuss their breakout topic of choice for the next 25 minutes, following the What? / So What? / Now What? format (see liberating structures).  Then with the remaining ten minutes, we’ll regroup and share report outs of what the breakouts discussed. - 25 min
    • Messaging Usage Based Discovery utility and benefits.
      • User interface functionality that show users the benefits of UBD discovery.
      • How to win seed funding and enroll participants in cluster.
    • Share ideas, best practices, and help develop community standards.
      • DOIs - structuring Digital Object Identifiers to facilitate dataset discovery?
      • Sharing Graph Data - How to share UBD data generated by different projects?
      • Crowdsourcing UBD - how to get users to report mistakes, make suggestions for other pubs, and earn trusted roles as expert UBD data curators?
    • UBD analytics, content, ML, and UI:
      • Topics and findings - ways to use the data citation graph?  Other research questions?
      • Data Development - Enrolling people to add their dataset-usage relations to the UBD Graph DB/ UI.
      • Machine learning - how to detect informal data citation.
      • UBD Data Architecture - technology behind the UBD graph database and allied technologies such as the semantic web and google/schema.org. 
    • Regroup and report out: breakout groups select one participant to share what they discussed.- 10 min
  • Adjourn the meeting - 5 min
View Recording
View Notes

Organizers
avatar for Jonathan Blythe

Jonathan Blythe

Data Manager, BOEM
avatar for Tyler Christensen

Tyler Christensen

Data Management Architect, NOAA / NESDIS
avatar for Irina Gerasimov

Irina Gerasimov

NASA GES DISC
avatar for Sara Lafia

Sara Lafia

Research Fellow, University of Michigan
Sara Lafia works on a NSF project, Developing Evidence-based Data Sharing and Archiving Policies, where she is analyzing curation activities and automatically detecting data citations to develop metrics for tracking the impact of data reuse. Sara's research considers issues related... Read More →

Speakers
avatar for Madison Langseth

Madison Langseth

U.S. Geological Survey



Wednesday January 19, 2022 11:00am - 12:30pm EST
TBA
  Breakout, Breakout

11:00am EST

Understanding the Significance of the SBIR-STTR Program, Its Phases and Technologies, and How Your Organization Can Benefit
The federal government’s Small Business Innovation Research (SBIR)-Small Business Technology Transfer (STTR) programs are highly undervalued by the very agencies they were intended to benefit. SBIR-STTR programs can provide federal agencies with young but proven technologies that can be rapidly adopted to address agency goals and objectives…on a sole source basis. Established in 1982 (SBIR) and 1992 (STTR), these programs provide billions of dollars in competitive funding for high tech development by small businesses that could be tapped by more agencies and their contractors to promote innovation and rapid adoption of new technology.

SBIR contracts/grants could be a valuable source of support for public-private collaboration and innovation in the ESIP community and could help ESIP increase private sector participation in its initiatives while making more data available for all people from Data Generation to Data Use and Understanding.

A key challenge, however, is that many agencies and federal contractors don’t understand the value that SBIR-STTR contracts and subcontracts can bring to the table, or the steps needed to access these resources. This session will identify specific SBIR examples and discuss the benefits and gaps that exist in the program that may be hampering their agency adoption. Opportunities exist for agencies that need to share their data, work across line offices, and use their data as strategic assets—as well as to meet their goals for diversity and equity in procurement. Diverse opportunities exist for small businesses as well as academic and nonprofit organizations that work with small businesses as subcontractors to access procurement opportunities that could scale up your work in high-impact applications. Come to this session to learn how you can take advantage of SBIR-STTR technologies and accelerate procurement opportunities for your organization and accelerate data-driven decision making!

You will leave this session with a clear understanding of how your agency, your non-profit, or your commercial enterprise can move forward and engage SBIR small businesses as we work to rebuild our nation’s economy.

We will hear from: Jason Kessler, NASA SBIR Program Executive, NASA Headquarters who will provide us with an overview of the SBIR program
We will also hear about a successful STTR project from Bob Chen, Director, NASA SEDAC & about a successful SBIR Phase III technology from Dave Jones, CEO, StormCenter Communications, Inc. and John Williams, Director of Innovation and Technology, Office of Innovation and Technology, Office of Investment and Innovation, U.S. Small Business Administration will be available during the session to answer any questions from the SBA.
Please join us for this exciting ESIP Session.
Recommended ways to prepare for this session: This session will offer excellent information about the SBIR-STTR programs which is good for any level of participant in the ESIP Federation. This session should also provide good information for program managers and contract officers in any US Federal agency, government lab, prome contractor and university. It will be highly educational for agency representatives, non-profit leaders and commercial company leaders.

View Recording
View Notes

Organizers
avatar for Bob Chen

Bob Chen

Director & Senior Research Scientist, CIESIN/Columbia University
Environment and security applications, DANTE (Data ANalytics and Tools for Ecosecurity), the POPGRID Data Collaborative, TReNDS (Thematic Research Network on Data and Statistics), SEDAC (Socioeconomic Data and Applications Center), decision support, open data sharing (not just FAIR... Read More →
avatar for Dave Jones

Dave Jones

StormCenter Communications, StormCenter Communications
GeoCollaborate, an SBIR Phase III technology (Yes, its a big deal)...Real-time data access, sharing and collaboration across multiple platforms. Collaborative Common Operating Pictures, Decision Making, Situational Awareness, connecting disparate mapping systems to share data, cross-product... Read More →

Speakers
avatar for Jason Kessler

Jason Kessler

SBIR-STTR Program Executive, NASA
JW

John Williams

Director of Innovation and Technology, Office of Innovation and Technology, Office of Investment and Innovation, U.S. Small Business Administration



Wednesday January 19, 2022 11:00am - 12:30pm EST
TBA

12:30pm EST

Break
Wednesday January 19, 2022 12:30pm - 1:30pm EST
TBA

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

1:30pm EST

Data on the Brink: Improving Data Access and Reusability Do-A-Thon
Data should be accessible and usable by those making or influencing decisions. Those who need the data - whether scientists, local officials, or the general public - often don’t have access to, or are unaware of, the data that they need to make appropriate, informed decisions.

Small groups of undaunted experts get things done. Today, there are countless underutilized datasets, and the level of Data Access and Reusability varies widely by region, scientific discipline, and medium. We need to learn and share how others have improved data access and reusability.

This Do-A-Thon aims to utilize our shared knowledge to improve access to and awareness of a small but diverse collection of scientific data, with the long term goal of capturing these processes to develop leading practices to improve data access and reusability. After a brief presentation of background work including some preliminary “responsibilities and rights” with respect to improving data access and reusability, the majority of the session will be spent sharing and applying processes that have improved data access and reusability. Candidate datasets may be suggested to the organizers prior to the session. However, work can proceed in more general terms even without candidate datasets.

While this session will build upon work done in other spaces, no prior experience is necessary to participate.

Here are some recommended ways to prepare for this session: Some work on improving data access and reusability has been shared before. A review of the presentations in the 2019 AGU eLightning session, Dirty Stories of Data Rescue (you'll need to select the session from the drop-down), can help give a sense of the diverse efforts that are already taking place.

If you have improved access or reusability of a dataset, please come prepared to share your experience.

If you are aware of a candidate dataset that needs to improve access or reusability, please contact Denise Hills or Steve Diggs before January 10, 2022, so that we can incorporate that into the Do-A-Thon.

Most importantly, come prepared to honestly share the successes, the learning experiences, highlights, and frustrations that you have encountered in your data conservation efforts.

View Recording
Agenda and Notes
Presentation Slides

Organizers
avatar for Stephen Diggs

Stephen Diggs

Technical Director, CCHDO, Scripps Institution of Oceanography / UC San Diego
ORCID: 0000-0003-3814-6104https://cchdo.io
avatar for Denise Hills

Denise Hills

Director, Energy Investigations, Geological Survey of Alabama
Long tail data, data preservation, connecting physical samples to digital information, geoscience policy, science communication.ORCID:  0000-0001-9581-4944

Wednesday January 19, 2022 1:30pm - 4:00pm EST
TBA
  Breakout, Breakout

1:30pm EST

In-situ and remotely-sensed data integration for wildfire management
visual map of the topics that will be discussed in this session can be previewed here (warning: very large image).

This session continues the synthesis of ideas contributed by individuals from various ESIP clusters (including Agriculture and Climate, Semantic Harmonization, EnviroSensing, Machine Learning, and Drones) applied to wildfire management. This session focuses on the challenge of ingesting heterogeneous data from in-situ and remotely-sensed systems into models and applications between the pre-fire and fire containment phases. Scenarios include (a) using heterogeneous data for better planning prescribed burns by using data before and after a burn for ingestion into fire behavior models, and (b) using heterogeneous data to recommend both strategic fuel break siting during pre-fire planning and optimal containment line location in the course of active wildfire fighting.

This synthesis session directly extends two of the key takeaways proposed by discussants during the 2021 ESIP summer meeting session “Identifying technology capabilities that meet wildfire science and practitioner requirements”: (a) “...improve fusion among near-term fire behavior model data, values-at-risk data, and sensor data that can be represented and visualized in a Common Operating Picture”, and (b) “...better estimate burn severity by fusing data from various sources (in-situ, remote, model)”.

High-level agenda for this session:
  1. Preview and synthesis of session concepts (Brian Wee  |  Massive Connections)
  2. Stakeholder perspective: Keeping your eyes on the big picture (Genny Biggs  |  Gordon and Betty Moore Foundation)
  3. Stakeholder perspective: Challenges from the wildfire frontlines (Chief Dave Winnacker  |  Fire Chief at Moraga-Orinda Fire District)
  4. Technical solution perspective:  In-situ EnviroSensing: challenges and opportunities in the (wild)fire continuum (Scotty Strachan  |  Nevada EPSCoR  |  ESIP EnviroSensing Cluster)
  5. Technical solution perspective:  sUAS data use/reuse/repurpose for science and management (Andrea Thomer  |  University of Michigan  |  ESIP Drones Cluster)
  6. Technical solution perspective:  Wildland Fire Simulation and Data Assimilation using UAS data (Xiaolin Hu  |  Georgia State University)
  7. Technical solution perspective:  AI/ML for Wildfire: Limits and Opportunities (Ziheng Sun  |  George Mason University  |  ESIP Machine Learning Cluster)
  8. Breakout groups for (1) In-situ and remote data fusion, (2) UAS data ingest into models.
  9. Breakout groups present on (1) Barriers to implementation, (2) What is achievable in the short-term
  10. Synthesis and looking ahead

View Recording
View Notes

Organizers
RA

Rustem Arif Albayrak

Associate Research Engineer, UMBC/NASA
avatar for Martha Apple

Martha Apple

Professor, Biological Sciences, Montana Technological University
Alpine Plant Ecology, Climate Change, and Environmental Sensing
avatar for Scotty Strachan

Scotty Strachan

Director of Cyberinfrastructure, University of Nevada, Reno
Institutional cyberinfrastructure, sensor-based science, mountain climate observatories!
avatar for Bill Teng

Bill Teng

NASA GES DISC (ADNET)
avatar for Brian Wee

Brian Wee

Founder and Managing Director, Massive Connections, LLC
Transdisciplinary scientist invested in the use of environmental data and information for science, education, and decision-making for challenges at the nexus of global environmental change, natural resources, and society. Strategized and executed initiatives to engage the US Congress... Read More →

Wednesday January 19, 2022 1:30pm - 4:00pm EST
TBA
  Breakout, Breakout

1:30pm EST

Unlocking ARCO: Analysis-Ready Cloud-Optimized Data transformation in practice
Experience is the best teacher. Data providers need a space to share their experiences generating ARCO (analysis-ready cloud-optimized) datasets and use the ESIP Winter session to collect best practices and examples.

The Cloud Computing Cluster is excited to organize this session which will produce “real outputs” in the form of best practices, guidance and use case driven workflow with examples which will be formalized in github repositories and shared through social media such as LinkedIn, twitter and slack.

The Cloud Computing Cluster is composed of members from data and service providers such as USGS, NASA, NOAA, cloud providers such as AWS and Microsoft, and academic institutions such as UCAR/NCAR and the University of Washington. The January meeting provides an opportunity for these organizations to share and coalesce on best practices for analysis-ready cloud-optimized (ARCO) data.

View Recording
View Notes

Agenda:

Also see more details in this Slide deck
  • 1:30-1:45: Gather, share agenda, share some work in progress “guidance” documents where we are consolidating what we know and what we don’t know (“Lessons from the field”)
  • 1:45-2:05: Lightning talks - Listen to the experiences from a few in our community.
    • Action for attendees: Listen and use the chat box to ask questions.
  • 2:05-2:15: Individual (silent) brainstorming
    • Action for attendees: Make a copy of slide 9 and answer questions 
  • 2:15-2:35: Small group brainstorming + voting
    • Action for attendees: Share answers to slide 9 questions
    • Action for attendees: Vote on questions in slide
  • 2:35-3:05: Fishbowl
    • Action for attendees: If your question received the most votes, ask it to the group
    • Action for attendees: Listen to questions and deliver answers or insights.
  • 3:05-3:15: Break
    • Action for attendees: Recover for tutorials!
  • 3:15-3:45: Tutorials on kerchunk and pangeo-forge
    • Action for attendees: Listen to tutorials
  • 3:45-4: Wrap up and next steps
    • Action for attendees: Sign up for email and slack if not already on those channels

Lightning Talks

Four (4) 5-minute lightning talks
  1. Dieu My thanh Nguyen on Zarr chunking strategies research 
  2. Anderson Banihirwe on producing Zarr data store for the complex climate model data (Community Earth System Model Large Ensemble (CESM LENS) Data Sets on AWS - Datasets - DASH Search - PRODUCTION)
  3. Lucas Sterzinger on Fake it until you make it — Reading GOES NetCDF4 data on AWS S3 as Zarr for rapid data access
  4. Landung (Don) Setiawan on building data portals for OOI and other NASA-funded projects requiring large-scale data conversion and utilization of both COG and Zarr.
Tutorials
pangeo-forge with Charles Stern

Pangeo Forge is an open source tool for data Extraction, Transformation, and Loading (ETL). The goal of Pangeo Forge is to make it easy to extract data from traditional data repositories and deposit in cloud object storage in analysis-ready, cloud-optimized (ARCO) format.

Kerchunk with Lucas
Cloud-friendly access to archival data. Kerchunk is a library that provides a unified way to represent a variety of chunked, compressed data formats (e.g. NetCDF, HDF5, GRIB), allowing efficient access to the data from traditional file systems or cloud object storage.

Organizers
avatar for Aimee Barciauskas

Aimee Barciauskas

Data engineer, Development Seed
avatar for Rob Casey

Rob Casey

Deputy Director of Cyberinfrastructure, IRIS Data Services
Rob currently serves as Deputy Director of Cyberinfrastructure at the Incorporated Research Institutions for Seismology (IRIS) Data Management Center (DMC) in Seattle, WA. His responsibilities include management of software development and data services activities as well as leading... Read More →
avatar for Sudhir Shrestha

Sudhir Shrestha

Technical Director Web and Dissemination Services, NOAA NWS Office of Water Prediction
avatar for Rich Signell

Rich Signell

Research Oceanographer, USGS
Open Source Science, Pangeo, Python, JupyterHub, Cloud Computing, AWS, HPC on the Cloud, Dask, Xarray

Wednesday January 19, 2022 1:30pm - 4:00pm EST
TBA
  Breakout, Breakout
  • Keywords Cloud Computing, Data Stewardship
  • Collaboration Area Tags Cloud Computing, Community Data
  • Target Audience The target audience is anyone who is interested in generating cloud-optimized data archives and/or has experience doing so. The cloud computing cluster is composed of data providers and technologists who have affiliations from federal agencies to academic institutions and share the mission of making Earth observation archives more accessible to a greater number of people. We believe creating more and better cloud-optimized data archives will make that possible.

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
Knowledge modeling. Formal ontology. Aspiring PhD student, actively applying & searching for study or work collaborations, globally. I develop conceptual models, ontologies, terminologies, and graph diagrams, with specialties in space, selected maritime topics, selected emergency... 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

4:00pm EST

Break
Wednesday January 19, 2022 4:00pm - 4:30pm EST
TBA

4:30pm EST

Research Showcase Poster & Demo Live Event
The Research Showcase features virtual posters and recorded demos and tutorials from ESIP Meeting Attendees. You can view all contributions at any time during the meeting and leave questions or comments for the contributors. LIVE Q&A: We encourage you to attend the live Research Showcase Session (Wednesday January 19th, 4:30-6 pm ET) to chat live with contributors.

Wednesday January 19, 2022 4:30pm - 6:00pm EST
TBA
 
Thursday, January 20
 

11:00am EST

Plenary: Open Science and the private sector - making data more accessible through innovation

Speakers
avatar for Allison Wolff

Allison Wolff

CEO, Vibrant Planet
Allison worked in Silicon Valley for 20 years on corporate strategy, product strategy, customer experience design, and marketing. After overseeing the development of the Netflix brand and digital experience Allison advised corporate and nonprofit leadership teams on vision, strategy... Read More →
avatar for Ezinne Uzo-Okoro

Ezinne Uzo-Okoro

Assistant Director for Space Policy, Office of Science Technology Policy at the White House
Ezinne Uzo-Okoro is the Assistant Director for Space Policy at the Office of Science Technology Policy at the White House. In determining civil and commercial space priorities for the President’s science advisor, her portfolio includes Orbital Debris, On-orbit Servicing, Assembly... Read More →
avatar for Kevin O'Brien

Kevin O'Brien

CEO, Orbital Insight
Prior to his role at Orbital Insight, Kevin was the Regional Director for the Americas, Global Banking & Brokerage, for FactSet Research Systems. Kevin joined FactSet in conjunction with the acquisition of Revere Data, LLC, where he was President and CEO. Originally trained as a software... Read More →


Thursday January 20, 2022 11:00am - 12:30pm EST
TBA

12:30pm EST

Break
Thursday January 20, 2022 12:30pm - 1:30pm EST
TBA

1:30pm EST

Assessing the State of Community Knowledge Graphs
Within the ESIP community, there are a growing number of projects that use knowledge graphs (KG) to store, annotate, create, and share data. KGs are a potentially innovative way of working with data in an open and flexible way, but there are still a lot of open questions regarding their adoption within the earth sciences. In this session, we bring together some ESIP KG users and developers to discuss our varied approaches, challenges and goals in using knowledge graphs. The session will start with a very short description of knowledge graphs, and then feature lightning talks from our panelists. We’ll then open the panel up for general discussion. We’ll ask panelists questions like:

In which ESIP committees and clusters is your work discussed, if any?
Who do you see as your community?
What do you see as your use cases or competency questions for your resources?
Who do you wish you could connect to?
What are your thoughts on KG completion approaches (like them, hate them, etc)?
Do you do any validation of your graph resources? According to what criteria/standards/ontologies?
How do you discover connections of use for your community?
What does "governance" mean in your community
What is your sustainability model?
How do you balance organic development of the graph with the use of standards?
What do you see as the biggest challenges in this space? What are the biggest open research questions or engineering obstacles?

Recommended ways to prepare for this session: If attendees are not familiar with knowledge graphs, they might wish to skim the following chapter: https://arxiv.org/pdf/2003.02320.pdf

View Recording
View Notes

Organizers
avatar for Doug Fils

Doug Fils

Ocean Leadership
Talk to me about anything...I really enjoy server side development (so I'd rather talk to UI developers) ;)I really enjoy semantics... but I like to mix that with unstructured dataso, talk to me about anything...
avatar for Andrea Thomer

Andrea Thomer

Assistant Professor, University of Michigan School of Information
I'm an information scientist interested in biodiversity and earth science informatics, natural history museum data, data curation, information organization, and computer-supported cooperative work! 

Speakers
avatar for Doug Newman

Doug Newman

Systems Engineer, NASA ESDIS
avatar for Chantelle Verhey

Chantelle Verhey

Research Associate, International Technology Office & Ocean Networks Canada
Currently investigating the value proposition of Schema.org and creating worthwhile supporting documents such as "Schema.org for Research Data Managers: A Primer". In the near future, my focus will be shifted towards assisting the Polar community with Semantic harmonization. 
avatar for Simon Goring

Simon Goring

University of Wisconsin - Madison
Simon Going is an Assistant Scientist in the Department of Geography at the University of Wisconsin - Madison and the outgoing Co-Chair of the earthCube Engagement Team/representative on the Leadership Council.
avatar for Sara Lafia

Sara Lafia

Research Fellow, University of Michigan
Sara Lafia works on a NSF project, Developing Evidence-based Data Sharing and Archiving Policies, where she is analyzing curation activities and automatically detecting data citations to develop metrics for tracking the impact of data reuse. Sara's research considers issues related... Read More →
avatar for Tom Narock

Tom Narock

Assistant Professor of Data Science, Goucher College


Thursday January 20, 2022 1:30pm - 3:00pm EST
TBA
  Breakout, Breakout

1:30pm EST

ESIP Cross-Domain Collaboration Laboratory -- Let’s Look at Wildfires
Global and local challenges are increasing from a rapidly changing climate that is fueling extreme events. There were 20 separate billion-dollar weather and climate disasters in 2021, just two events shy of the record set in 2020. These events caused at least 688 fatalities and scores more injured. Two disasters occurred in December — the Southeast, Central Tornado Outbreak and the Midwest Derecho and Tornado Outbreak. December did not go quietly with losses from the Marshall Fire, which burned about 6,200 acres and more than 1,000 homes in Superior, Louisville and unincorporated parts of Boulder Country, are estimated by the Boulder County Assessor at $513 million, making it among the costliest fires in the state's history.

While the number of extreme events continues to increase, the impacts on people, communities, supply chains, transportation, communication and utility sectors also continue to grow due to aging critical infrastructure, increased vulnerabilities due to more demand from growing populations, and more people moving into hazard-prone areas that typically lack region-specific preparedness campaigns. In addition, the compounding impacts of Covid-19 have severely impacted the supply chain.

Data availability has also been increasing at logarithmic scales while the ability to discover, trust and use that data has lagged behind the ‘data availability’ growth rates. Non-technical decision makers, who crave trusted data that can be used to drive decision making, cannot find what they need, often due to the complex semantics of hazards and disasters. When they do find a relevant data source, they have to trust it in order to make a decision. Once they have gained trust in the source and used the data in their decision making processes, they are more than happy to provide feedback on the data that could lead to further improvements.

As the risk of wildfires continues to increase and the number of people moving into the urban wildland fire interface increases, communities want and need to be kept informed about their risks to wildfires and other extreme events, and how they can use data to improve their resilience, particularly BEFORE the fire breaks out. Once a wildfire threatens, communities need to jump into action. Before a wildfire develops is when community residents need to be informed about their vulnerability and identify what risks exist. What is being done to protect their communities and when it is safe to remain in place or evacuate? Today there are numerous disparate sources of information available and many choices to find data...but can that information be trusted and can it be aggrigated?

This session will bring together members from the ESIP #Ag&Climate, #AirQuality, #Envirosensing, #DataReadiness, #InformationQuality and #DisasterLifecycle clusters to engage in some active use case conversations, such as data sources for wildfire risk and possible impacts on communities, evacuation route datasets and how can we connect to communities effectively. We desire to leverage and grow a way to serve community and neighborhood residents and decision makers through lay language data discoverability and use to drive more rapid decisions. This could prove to be extremely valuable as we seek to cut the time between data discovery, trust, situational awareness and decision making.

We are excited to welcome Carol Ekarius, Chief Executive Officer of Coalitions & Collaboratives, Inc., a non-profit that works to foster on-the-ground conservation efforts that protect and restore natural resources and local communities by supporting collaborative conservation organizations, who produce collective impacts through stakeholder driven efforts. We will be engaging with Carol to discuss what communities need when it comes to data, particularly pre-fire, so they can become more resilient. Many of these communities are underserved. We will also hear from Dr. David Green, NASA Applied Science's Wildfire Program Manager that was recently added to Applied Science's portfolio. David will discuss where he sees the Wildfire program heading and inform us about a broader NASA multi-directorate approach to wildfires. We will have a 20-minute breakout session to address the following topics:
  • Breakout 1: Challenges for pre-wildfire in communities
  • Breakout 2: Data applications for pre-wildfire community situational awareness
  • Breakout 3: Community Communication & Education Challenges (wildfire risk regions)
Recommended ways to prepare for this session: Think about whether you have candidate data potentially applicable to wildfire disasters especially before they develop.

View Recording
View Notes

Organizers
avatar for Qian Huang

Qian Huang

PhD candidate, University of South Carolina
avatar for Dave Jones

Dave Jones

StormCenter Communications, StormCenter Communications
GeoCollaborate, an SBIR Phase III technology (Yes, its a big deal)...Real-time data access, sharing and collaboration across multiple platforms. Collaborative Common Operating Pictures, Decision Making, Situational Awareness, connecting disparate mapping systems to share data, cross-product... Read More →
avatar for Karen Moe

Karen Moe

NASA Goddard Emeritus
ESIP Disasters Lifecycle cluster co-chair with Dave Jones/StormCenter IncManaging an air quality monitoring project for my town just outside of Washington DC and looking for free software!! Enjoying citizen science roles in environmental monitoring and sustainable practices in my... Read More →

Speakers
avatar for Robert R. Downs

Robert R. Downs

Senior Digital Archivist, Columbia University
Dr. Robert R. Downs serves as the senior digital archivist and acting head of cyberinfrastructure and informatics research and development at CIESIN, the Center for International Earth Science Information Network, a research and data center of the Columbia Climate School of Columbia... Read More →
avatar for Scotty Strachan

Scotty Strachan

Director of Cyberinfrastructure, University of Nevada, Reno
Institutional cyberinfrastructure, sensor-based science, mountain climate observatories!
avatar for Douglas Rao

Douglas Rao

Research Scientist, CISESS/NCICS/NCSU
I am currently a Research Scientist at North Carolina Institute for Climate Studies, affiliated with NOAA National Centers for Environmental Information. My current research at NCICS focuses on generating a blended near-surface air temperature dataset by integrating in situ measurements... Read More →
avatar for Brian Wee

Brian Wee

Founder and Managing Director, Massive Connections, LLC
Transdisciplinary scientist invested in the use of environmental data and information for science, education, and decision-making for challenges at the nexus of global environmental change, natural resources, and society. Strategized and executed initiatives to engage the US Congress... Read More →
DG

David Green

NASA Applied Sciences
CE

Carol Ekarius

CEO, Coalitions & Collaboratives, Inc.



Thursday January 20, 2022 1:30pm - 3:00pm EST
TBA
  Breakout, Breakout

1:30pm EST

Recent advancements in marine data management: From ‘omics to imaging and beyond
As a collaboration between the Marine Data Cluster and the Biological Data Standards Cluster this session will bring together a collection of presenters to discuss recent advancements in marine data management. Building off this year’s theme of Data for All People: From Data Generation to Data Use and Understanding we will showcase innovative and time-tested techniques for managing the heterogeneous observations of the world's oceans. This session will feature a series of lightning talks on the various approaches followed by open discussion on potential collaborations and overlap.

Agenda:
  • Introduction
    • Biological Data Standards cluster
    • Marine Data Cluster
  • ‘Omics & Darwin Core - Diana LaScala-Gruenewald 
  • Plankton imaging - Stace Beaulieu
  • METS RCN - Heather Benway/Fernando Pacheco
  • SAMOS metadata exchange - Shawn Smith
  • Discussion
  • Takeaways
View Recording
View Notes

Organizers
avatar for Mathew Biddle

Mathew Biddle

Physical Scientist, NOAA/IOOS

Speakers
FC

Fernando Carvalho Pacheco

Marine Research technician, UH at manoa
avatar for Stace Beaulieu

Stace Beaulieu

ESIP rep for WHOI, Woods Hole Oceanographic Institution
I'm the Information Manager for the Northeast U.S. Shelf LTER (https://nes-lter.whoi.edu/) and Coordinator for WHOI's Ocean Informatics Working Group (https://www.whoi.edu/ocean-informatics). Come talk with me about data science training in the ocean sciences!
avatar for Shawn Smith

Shawn Smith

Senior Research Associate, COAPS/Florida State University
Presently, I am a senior research associate and director of the Marine Data Center at COAPS. My focus continues to be assessing and improving the quality of meteorological and underway flow-water observations collected on oceanographic research vessels through the SAMOS and Rolling... Read More →
DL

Diana LaScala-Gruenewald

Monterey Bay Aquarium Research Institute



Thursday January 20, 2022 1:30pm - 3:00pm EST
TBA
  Breakout, Breakout

1:30pm EST

Sustaining Community Repository Networks: Lessons Learned and Steps Moving Forward
Data repositories confront multiple challenges: building a robust community around their content, features, and use, defining their position within a rapidly growing ecosystem of repositories, weighing the costs and benefits of participating in one or more repository networks, and developing a funding model that can support all of these (and more) critical areas of work. Similarly, community repository networks enable efficient discovery and access to resources shared by member repositories while promoting interoperability and efficiency, but also must confront similar challenges in defining who their community is, developing and communicating the value proposition that the network provides, promoting the value of the network, both to its members and to users of the network's repositories and the services provided by the network as a whole, and developing a funding model that both supports the network as an entity above and beyond the support provided by the member repositories.

This session will bring together a group of panelists from the repository and repository network perspective to seed and participate in a community discussion around:
* Defining what sustainability means in the context of repository networks as compared to repositories themselves
* Successful and unsuccessful models for sustaining repository networks
* Specific examples of sustainability strategies from both the panelists and attendees of the session
* The role of sponsoring agencies in contributing to repository and network sustainability
* Different sustainability challenges faced by repositories and networks:
* Disciplinary differences in value and use
* Cost and complexity variation in repository needs
* Differences in realistic funding models
* How has the sustainability landscape shifted over the past 10-20 years? How do we anticipate it will continue to change over the coming decades?

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View Notes

Organizers
avatar for Karl Benedict

Karl Benedict

Director of Research Data Services & Information Technology, University of New Mexico
Since 1986 I have had parallel careers in Information Technology, Data Management and Analysis, and Archaeology. Since 1993 when I arrived at UNM I have worked as a Graduate Student in Anthropology, Research Scientist, Research Faculty, Applied Research Center Director, and currently... Read More →
avatar for Matt Jones

Matt Jones

Director of Informatics R&D, DataONE / NCEAS / UC Santa Barbara
DataONE | Arctic Data Center | Open Science | Provenance and Semantics | Scientific Synthesis

Speakers
avatar for Amber Budden

Amber Budden

Director for Learning and Outreach, NCEAS
Open science facilitator, community manager and data literacy trainer. I lead the NCEAS Learning Hub and short course activities and co-lead DataONE and the Arctic Data Center, with a focus on supporting the community in open science learning and practices... Read More →
avatar for Kerstin Lehnert

Kerstin Lehnert

President, IGSN e.V.
Kerstin Lehnert is Doherty Senior Research Scientist at the Lamont-Doherty Earth Observatory of Columbia University and Director of the Interdisciplinary Earth Data Alliance that operates EarthChem, the System for Earth Sample Registration, and the Astromaterials Data System. Kerstin... Read More →
avatar for Daniella Lowenberg

Daniella Lowenberg

Sr. Data Publishing Product Manager, University of California
Principal Investigator and lead of the Make Data Count initiative and Sr. Product Manager for Dryad... Read More →
avatar for Christine Kirkpatrick

Christine Kirkpatrick

Division Director, Research Data Services, San Diego Supercomputer Center, UC San Diego


Thursday January 20, 2022 1:30pm - 3:00pm EST
TBA
  Breakout, Breakout

3:15pm EST

Coffee Break Networking
Thursday January 20, 2022 3:15pm - 3:45pm EST
TBA

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
Knowledge modeling. Formal ontology. Aspiring PhD student, actively applying & searching for study or work collaborations, globally. I develop conceptual models, ontologies, terminologies, and graph diagrams, with specialties in space, selected maritime topics, selected emergency... Read More →

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

4:00pm EST

Building Stronger Bridges Between Collaborations
Data professionals who engage in CDI and ESIP Collaboration Areas have many mutual interests both in terms of technical topics and application areas. In an effort to increase communication between these groups, we will host a session to share and explore potential synergies. This session will make connections between people in both communities, bring to light lessons already learned or resources already produced, and help to identify common interests and challenges to collaborate on in the future. We will also explore mechanisms for continued sharing across ESIP, CDI, and other related groups going forward.

We will focus on connecting people, expertise, and resources from the ESIP Community Resilience and Disasters collaboration areas and the USGS Risk Research Applications Community of Practice. After brief introductions to the groups and their purpose by the group fellows, we will use this example to address the questions: How do you know where to go when you need help or expertise or want to share something? How can we usefully map the expertise that resides in these separate groups?

View Recording
Agenda

Organizers
avatar for Megan Carter

Megan Carter

Community Director, ESIP
avatar for Leslie Hsu

Leslie Hsu

Coordinator, Community for Data Integration, U.S. Geological Survey

Speakers
avatar for Christine Gregg

Christine Gregg

ESIP Community Fellow, University of Michigan
avatar for Marion McKenzie

Marion McKenzie

2021 ESIP Community Data Fellow //Second year PhD student in the Ice and Ocean Group at the University of Virginia
avatar for Qian Huang

Qian Huang

PhD candidate, University of South Carolina


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

4:00pm EST

Enhancing the Guidelines for Sharing and Reusing Dataset Information Quality
The ESIP Information Quality Cluster, collaborating with other groups from around the world, has led the formation the baselined International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets (see https://doi.org/10.31219/osf.io/xsu4p). The baselined dataset quality guidelines offer an opportunity for improvement to serve multiple disciplines, use cases, and domains of applied sciences. In addition to the Earth sciences and related study areas, various disciplines and data types each need information about data quality when assessing data for potential reuse and when deciding how to use the data. For example, when studying climate change, environmental hazards, and other multidisciplinary issues, often, data from various disciplines are integrated. Such multidisciplinary data integration activities raise cross-disciplinary questions about the quality of individual datasets and approaches to fusing such cross-disciplinary quality information. Also, new questions about data quality emerge when planning to use the products and services that include datasets that have been integrated from various disciplines. Session participants will discuss use cases and data quality issues for interdisciplinary data (re)use and integration in terms of the implications for enhancing the dataset quality guidelines.

Recommended ways to prepare for this session: Identify data quality questions and issues of interest.

Session Notes

Session Recording

Organizers
avatar for Robert R. Downs

Robert R. Downs

Senior Digital Archivist, Columbia University
Dr. Robert R. Downs serves as the senior digital archivist and acting head of cyberinfrastructure and informatics research and development at CIESIN, the Center for International Earth Science Information Network, a research and data center of the Columbia Climate School of Columbia... Read More →
avatar for David Moroni

David Moroni

Applied Sciences System Engineer, Jet Propulsion Laboratory, Physical Oceanography Distributed Active Archive Center
I am a Senior Applied Science Systems Engineer at the Jet Propulsion Laboratory (JPL), former Data Publication team lead (2018-2021) for the PO.DAAC Project, Systems Engineer for the MAAP-AWS-HEC task, Applied Science Systems Engineer for the MAIA Early Adopters, and co-Investigator... Read More →
avatar for Hampapuram Ramapriyan

Hampapuram Ramapriyan

Research Scientist, Subject Matter Expert, Science Systems and Applications, Inc.

Speakers
avatar for Natalia Atkins

Natalia Atkins

Metadata officer, Australian Ocean Data Network (AODN)



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

4:00pm EST

Round the World Efforts to Improve the Discovery and Reusability of Education & Training Materials Data Skills Teachers & Learners Alike
As the world in which all people work and live becomes more data intensive, the need remains for data researchers, stewards, managers and users to discover and instructors to reuse education and training materials in order to further their formal and informal education and their professional development. New and existing education and training resources can help people achieve the skills and competencies necessary to compete and perform in their work and living environments. A number of organizations within the research data teaching and learning communities across many subject domains have been working hard to come up with ways to improve the chances for discovery of existing materials, and encourage the sharing / adapting of new and existing training resources. These ways include recommendations for metadata and other documentation, the development of metadata application profiles and implementation testbeds for learning catalogues, registries, repositories, and learning platforms. In addition, these organizations (including participants from the Research Data Alliance Education, Training and Handling of Research Data Interest Group ((RDA ETHRD-IG)) have identified some core characteristics that service providers who provide search and discovery services  can use to help them remain sustainable as project funding comes and goes, and education and training needs change. This session will cover some of the important recent developments that will hopefully, improve the discovery and reusability of learning resources, and platforms that service them.   ESIP partners and managers of two learning resource catalogues, ESIP's Data Management Training Clearinghouse (DMTC) and the Australian Research Data Commons (ARDC) Digital Research Skills Australasia catalogue (DReSA), who have been involved in the RDA efforts will discuss their plans for aligning their catalogues to the RDA efforts.  After initial presentations, the organizers will provide opportunities for members of the audience to participate in group discussions on topics related to the motivations, barriers, and advantages of sharing the education and training materials that instructors create.

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Organizers
avatar for Nancy Hoebelheinrich

Nancy Hoebelheinrich

Principal, Knowledge Motifs LLC
See my LinkedIn profile at: https://www.linkedin.com/in/nancy-hoebelheinrich-0576ba3

Speakers
avatar for Kathryn Unsworth

Kathryn Unsworth

Manager, Skilled Workforce Development, Australian Research Data Commons (ARDC)


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

4:00pm EST

Supporting User Contributed Annotations for Data Catalogues
This session will provide a point for discussion around the use of an external service (the Throughput Widget) to support metadata enhancement for data repositories. The Throughput Annotation Database is a service that connects data records, code repositories, publications and databases across the internet, using unique identifiers to link these elements. Throughput is searchable through an API and an online user interface that exposes these links. One key use case for Throughput is allowing users to indirectly annotate data records on the web through the Throughput Widget. This widget uses an individual’s ORCID as an identifier and allows them to associate a text annotation to a dataset or data element on an organization’s home page once that organization enables the widget.

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Organizers
avatar for Simon Goring

Simon Goring

University of Wisconsin - Madison
Simon Going is an Assistant Scientist in the Department of Geography at the University of Wisconsin - Madison and the outgoing Co-Chair of the earthCube Engagement Team/representative on the Leadership Council.

Speakers

Thursday January 20, 2022 4:00pm - 5:30pm EST
TBA
  Breakout, Breakout
 
Friday, January 21
 

11:00am EST

Better Science for Future Us: Planning for the Year of Open Science
This session will bring together a diverse set of leaders across the U.S. government to highlight open science contributions that support data generation to data use and understanding and to identify a common agenda that the collective is moving forward. We aim to support open practices and community building that accelerate data-driven solutions and increase diversity, equity, inclusion, and belonging in science. Researchers and researcher support staff from NOAA Fisheries, California EPA, and NASA Openscapes (LP DAAC, NSIDC) will share vignettes  about open science in government and how we can support and connect open science work sna strengthen channels for inter- and cross-agency learning as we prepare for the Year of Open Science 2023.

Recommended ways to prepare for this session: Review slides from a December 2021 AGU talk (will provide a link following the presentation).

View Recording

View Notes   

View Blog 

Organizers
avatar for Julia Lowndes

Julia Lowndes

Openscapes
Julia Stewart Lowndes, PhD is founding director of Openscapes. She is a marine ecologist and champion for making science more open, efficient, inclusive, and kind. Working at the intersection of actionable environmental science, data science, and open science, she is a Mozilla Fellow, National Science Foundation Better Scientific Software Fellow... Read More →
avatar for Erin Robinson

Erin Robinson

Co-Founder, Metadata Game Changers LLC
Erin works at the intersection of community informatics, Earth science and non-profit management. Over the last 10+ years, she has honed an eclectic skill set both technical and managerial, creating communities and programs with lasting impact around science, data, and technology... Read More →

Speakers
AF

Aaron Friesz

LP DAAC/USGS
avatar for Ileana Fenwick

Ileana Fenwick

Openscapes & UNC Chapel Hill
Ileana Fenwick is an open science advocate and Marine Sciences Ph.D. Student at UNC Chapel Hill . Ileana's research focuses on evaluating how marine communities respond to climate change and human impacts. Her work uses innovative quantitative approaches to improve our ocean management... Read More →
avatar for Eli Holmes

Eli Holmes

Research Scientist, NOAA Fisheries
My research is focused on stochastic processes and statistical models for complex multivariate, interacting systems. Much of what I do involves developing algorithms for fitting multivariate autoregressive state-space (MARSS) models to time-series data, which comes up in vector autoregressive... Read More →
AH

Anna Holder

California EPA


Friday January 21, 2022 11:00am - 12:30pm EST
TBA

11:00am EST

Developing author guidelines and recommendations for physical samples
This session is a working session of the Physical Samples Curation Cluster. During this session, we will report on related activities in other ESIP Clusters, updates from the relevant external Sample Communities and continue efforts from the Cluster monthly meetings.

To continue efforts from the monthly meetings, we will have focused discussions on the development of author guidelines and recommendations for samples for journals and publishers. Sample citation is a complex topic. While it is challenging, it is also crucial for making samples a part of the data ecosystem. Our aim is to improve the discoverability of samples in the future such that they can be used by all researchers, from sample generation to sample use and understanding.

The Physical Samples Curation Cluster is a forum for the community supporting physical samples in the earth, space, and environmental sciences which includes but is not limited to geological and biological samples. The cluster’s goal is to enhance discoverability, access, and use of sample collections.

Session Agenda
  • News and updates (5 minutes)
  • iSamples Metadata Schema check-in (15 minutes)
  • Sample Sharing Guidelines Breakout activity (60 minutes)
  • Closing/Wrap Up (10 minutes)


Resources for this meeting



Recommended ways to prepare for this session


Other resources

Organizers
SR

Sarah Ramdeen

Data Curator, Columbia University
avatar for Val Stanley

Val Stanley

Antarctic Core Curator, Oregon State University

Friday January 21, 2022 11:00am - 12:30pm EST
TBA
  Breakout, Breakout

11:00am EST

Global ARD to Local DRI: Decisive Recipes for Disasters
We will share with the ESIP community concepts, tools, and outcomes from the OGC Disaster Pilot 2021. We will also invite ESIP members to try out some of these capabilities such as Jupyter Notebooks for creating and visualizing Decision Ready Indicators from Analysis Ready Data, automated multilingual audio survey apps for local disaster reporting, transportation impact models, and/or other systems developed by Pilot participants.

Recommended ways to prepare for this session: Links to material from the Indicator Workshop at the past Summer Meeting and a subsequent Readiness Workshop will help attendees to hit the screen running (link to be provided).

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Organizers
Friday January 21, 2022 11:00am - 12:30pm EST
TBA
  Breakout, Breakout

11:00am EST

Wikidata: A knowledge graph for the earth sciences?
Wikidata has become a central hub for life science related knowledge and data that conforms to the FAIR principles of findability, accessibility, interoperability and reusability as outlined in the influential “Science Forum: Wikidata as a knowledge graph for the life sciences(https://elifesciences.org/articles/52614).” Using this work on the life sciences topic as a model, how can the earth sciences leverage this large, multinational, accessible, sustainable community resource to improve science and applications related to earth science data? One example comes from Environment Canada which has imported metadata from 8,754 Meteorological Service of Canada stations into wikidata which is now queryable from the wikidata query service SPARQL endpoint (https://w.wiki/4LTi). Given that Wikidata represents a diverse, international data community whose work is built on semantic principles, it has the potential to enhance earth science data access for all people and provides inherent formal semantics, provenance and quality refinement mechanisms that enhance data usability, reliability and understanding.

Recommended ways to prepare for this session: Reading Science Forum: Wikidata as a knowledge graph for the life sciences(https://elifesciences.org/articles/52614) may be beneficial to understand how the life sciences have utilized wikidata.

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Organizers
avatar for Gary Berg-Cross

Gary Berg-Cross

Consultant, Ontolog Board Member
Cognitive Psychologist and long-time data and knowledge engineer. Board member of the Ontolog Forum. Activities including hosting VoCamps to develop modular ontologies and harmonize semantics between terminologies, conceptual models and ontologies.
avatar for Chuck Vardeman

Chuck Vardeman

Research Assistant Professor, University of Notre Dame
JW

Jane Wyngaard

University of Notre Dame

Friday January 21, 2022 11:00am - 12:30pm EST
TBA
  Breakout, Breakout

12:45pm EST

Coffee Break Networking
Friday January 21, 2022 12:45pm - 1:15pm EST
TBA

1:30pm EST

 


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