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Transforming Geosciences Research

JULY 2021

Follow Leah Levay As She and Her Team Explore Iceland's Mantle Convection and Climate

EarthCube-funded scientist Leah LeVay is currently on an expedition (through August 6) to discover more about our Earth's mantle in Iceland. Follow along on her adventure as staff scientist by clicking here

International Ocean Discovery Program (IODP) technical staff curate rock cores from the Expedition’s first site. Each piece must be carefully handled and labeled to archive the rock record. Credit: Leah Levay

HydroShare Article Discusses FAIR Principles

Hydrology researchers throughout the U.S. recently teamed up to publish their study entitled Toward Open and Reproducible Environmental Modelling by Integrating Online Data Repositories, Computational Environments, and Model Application Programming Interfaces. Featured in the Environmental Modelling and Software journal, the article included details about HydroShare, a web-based platform for finding and sharing water-related data, funded in part through EarthCube.

“Much of the thrust of prior reproducibility research has focused on the FAIR principles - Findable, Accessible, Interoperable and Reusable,” said co-author David Tarboton, professor of civil and environmental engineering at Utah State University and director of the Utah Water Research Laboratory. “Repositories meet the Findable and Accessible elements, but we have argued, in this research, that to achieve Interoperable and Reusable for computational models, it is necessary to encapsulate the computational environment and provide programmatic access through an application programming interface (API) to fully meet FAIR principles.” 

Full article.

June 2021 Meeting Recordings Now Available

The 2021 EarthCube Annual Meeting took place June 15-17 and included an array of talks, poster sessions, and listening sessions. If you missed the meeting, recaps and recordings of the sessions are available here.


PeerJ Computer Science

Daniel S. Katz and Neil Chue Hong are editing a special issue of PeerJ CS on software citation, indexing and discoverability. If you are doing any work in this area, please consider submitting to this special issue here. The deadline is July 16.


Team Meetings

Council of Data Facilities (CDF) - Friday, July 9, 12 pm (PDT)
Council of Funded Projects (CFP) - Thursday, August 5, 9:30 am (PDT)
Science & Engagement Team (SET) - Tuesday, August 3, 1 pm (PDT)
Technology & Architecture Committee (TAC) - Monday, August 2, 11 am (PDT)

Learn more on the EarthCube Governance page or email to join any of these groups.


ESIP Summer Meeting

July 19-23. For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth observation data, thus forming a community dedicated to making Earth observations more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of this year's meeting is Leading Innovation in Earth Science Data Frontiers.

QGreenland Training Workshop

Summer 2021. Ongoing workshops regarding the use of QGreenland are posted here. QGreenland is a free mapping tool to support interdisciplinary Greenland-focused research, teaching, decision making, and collaboration.

Tephra Data Standardization Workshop

TBA 2021. This dynamic virtual workshop will cover Tephra data collection and reporting recommendations, EarthChem integration - including a new Tephra community portal, StraboSpot integration, and user training. For more information, please see the group’s recent paper. Contact: Steve Kuehn.

FORCE11 Scholarly Communication Institute

July 26-August 5. FSCI is designed for those interested in developing a new world of scholarly communication: researchers, librarians, publishers, university and research administration, funders, students, and postdocs. There are courses for those who know very little about current trends and technologies as well as courses for those who are interested in more advanced topics. Courses cover scholarly communication from a variety of disciplinary and regional and national perspectives. Details are found here.

Cloud Training Opportunity: CyVerse's Three-Day Container Technology Workshops

July 26-28 (Container Basics) and August 2-4 (Advanced Containers).
The Container Basics section allows participants to learn how to easily share, scale, and reuse tools and workflows for all types of computational analyses; come with basic command line skills and leave with a running container. The Advanced Containers section teaches participants how to build customized containers to make workflows more collaborative and streamlined, and join the fleet that's sailing toward the vast horizon of reproducible science. Learn more about the workshops here and learn about "containers" in the ECO Jargon Corner.


Data Matters: Short-Course Series

August 9-13. Data Matters™ is a week-long series of one- and two-day courses aimed at students and professionals in business, research, and government. Sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, RENCI and North Carolina State University, the short-course series gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors. Learn more here.

CloudBank's RRoCCET21

August 10-12. Introducing RRoCCET21, a virtual conference for researchers interested in using cloud computing in their work. Hosted by researchers with a wide range of expertise, this conference explores the benefits and opportunities unlocked by migrating to the public cloud. The program presents the cloud as an accessible platform for research computing, including case studies, discussion time and short tutorials on key tools and technologies. The RRoCCET21 conference is organized by CloudBank, an NSF-funded initiative that helps the computer science community access and use public clouds for research and education. Get the program agenda, event committee and more info here.

NCEAS Environmental Data Science Summit

February 8-9, 2022. As part of a new Environmental Data Science Research Coordination Network, this inaugural annual summit will take place in Santa Barbara, California. This year’s theme is “Harnessing Diversity in Environmental Data Science” and will bring together environmental data scientists to connect, learn, share and collaborate. Participants will be selected through an application process with multiple opportunities for participant funding; details here.


Resources, Training, and Events Regarding FAIR Principles

If you missed the Afternoon of FAIR Data at the Annual Meeting, you can watch it online! In partnership with GO FAIR US and West Big Data Innovation Hub, EarthCube hosted webinars on FAIR Workflows and the CARE Principles:
  • FAIR in Workflows: Carole Goble (University of Manchester) and Frederik Coppens (ELIXER Belgium) discussed steps toward FAIR principles for computational tools and workflows and demonstrated Denis Yuen (Ontario Institute for Cancer Research) and Beth Sheets (UC Santa Cruz) discussed Dockstore, a computational tool and workflow sharing site, and how this tool can help researchers increase the portability and reproducibility of their work. Links to video and slides here.
  • Be FAIR and CARE— The CARE Principles for Indigenous Data Governance: Dr. Lydia Jennings (University of Arizona) discussed the relationship between CARE Principles for Indigenous Data Governance and FAIR Principles. Moderated by Amy Myrbo from Amiable Consulting. Link to video here.
We welcome requests for additional FAIR-related topics to share among the EarthCube community and beyond! Please send questions or suggestions to

NNSFational Science Foundation Opportunities and Deadlines

Department of Energy Opportunities and Deadlines

The U.S. Department of Energy announced up to $34.5 million to harness cutting-edge research tools for new scientific discoveries, including clean energy and climate solutions. Two new funding opportunities will support researchers using data science and computation-based methods—including artificial intelligence and machine learning—to tackle basic science challenges, advance clean energy technologies, improve energy efficiency, and predict extreme weather and climate patterns.

DOE’s Office of Basic Energy Sciences (BES) will award up to $21 million over three years for research applying data science methods, including artificial intelligence and machine learning, to basic chemical and materials science challenges—such as the discovery and development of new materials and chemical processes to harvest, store, and use energy more efficiently, while limiting emissions. For more information, visit the BES funding opportunity page.

DOE’s Office of Advanced Scientific Computing Research (ASCR) will award an additional $13.5 million over three years for efforts to use computer-based models and networking infrastructure to help research facilities across the nation collaborate on and accelerate scientific discovery. Potential applications include tools for improving energy usage, and climate and weather forecasting. For more information, visit the ASCR funding opportunities page.



Containers are virtual computing environments that hold an operating system and related process code to provide consistent execution of software tools; they can be run anywhere from a private data center to a public cloud and support both replication and reproducibility of analytical processes. Containers can be stored, shared, and re-used (e.g., Docker) or they can also be run “on the fly” (e.g., Kubernetes). 

For additional Cyberinfrastructure Jargon definitions, please see the EarthCube Office CI Jargon page.

Front-End Software Engineering - Utah State University

Utah State University has an opening for a front-end software engineer who understands web development using component-based architecture. The selected candidate will work with a team of faculty, researchers, students, and programmers to design, develop, and maintain web applications supporting water research projects, including development of hydrologic information systems, online collaborative data sharing and water resources modeling environments, and high performance computing systems. These projects include EarthCube-related projects HydroShare and ReproBench.  The applicant will have the opportunity to, and be expected to have the versatility to, work on multiple web applications, tools, and services across different projects. This will require taking new initiative and an ability to rapidly acquire and apply knowledge in an evolving software environment. Application review will continue until the position is filled.  Full description and application may be accessed here

Assistant Professor - Virginia Tech Department of Geosciences

The Department of Geosciences at Virginia Tech invites applications for a tenure-track faculty position in the area of coastal science. The ideal candidate will have demonstrated experience with interdisciplinary research and teaching in the broad area of coastal science. Areas of interest include but are not limited to, novel applications of geospatial analytics and/or machine learning to coastal zone processes, coastal system evolution, geocomplexity, as well as connections to coastal policy and geohealth. The review of applications will begin on August 6. Details are found here.

Postdoc for Machine Learning in Fisheries Acoustics at University of Washington

The Echospace group at the University of Washington is looking for a postdoc to conduct research at the intersection of fisheries/ocean acoustics and machine learning. The project is funded by NOAA Fisheries, with a long-range goal of developing a high-throughput echosounder data analysis pipeline to contribute to fishery stock assessment and ecosystem-based management. The UW Echospace group, based jointly at the UW Applied Physics Laboratory and eScience Institute, is a highly collaborative research group with members with diverse backgrounds and experiences. The postdoc will have opportunities to develop skills including cloud computing and software engineering as integrated components of their work within Echospace and interact with the vibrant ocean sciences and data science communities at UW and in Seattle. More information is here.

Introducing the Software Development Curve

Daniel S. Katz recently wrote a blog post entitled Introducing the Software Development Curve, which focuses on ideas regarding why we have community software in some areas and not in others.

2021 EarthCube Annual Meeting Recordings

The EarthCube Annual Meeting (June 15-17) featured amazing sessions with details regarding an array of EarthCube community projects. Recap and recordings are now available here.

Contact EarthCube Office

If you would like to share your research progress, event, career opportunity, or other information with the EarthCube community, please feel free to contact us at

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