Earth and Space Science Informatics Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science
[1];
[5];
[2];
[11];
[14];
- Geological Survey of Alabama Tuscaloosa AL USA, Ronin Institute for Independent Scholarship Tuscaloosa AL USA
- Lawrence Berkeley National Laboratory Berkeley CA USA
- Los Alamos National Laboratory Los Alamos NM USA
- Battelle National Ecological Observatory Network Boulder CO USA
- NASA's Goddard Space Flight Center Greenbelt MD USA
- Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA
- Vindhyan Ecology and Natural History Foundation Mirzapur India
- Atkinson Center for Sustainability and Department of Information Science Cornell University Ithaca NY USA
- NASA's Goddard Space Flight Center Greenbelt MD USA, George Mason University Fairfax VA USA
- Pacific Northwest National Laboratory Richland WA USA
- North Carolina Institute for Climate Studies North Carolina State University Asheville NC USA
- Center for Orbital Debris Education &, Research University of Maryland College Park MD USA, Independent New York NY USA
- George Mason University Fairfax VA USA
- Manaaki Whenua – Landcare Research Palmerston North New Zealand
- Australian National University Canberra ACT Australia
- NASA's Goddard Space Flight Center Greenbelt MD USA, Science Systems and Applications, Inc. Lanham MD USA
Abstract This article is composed of three independent commentaries about the state of Integrated, Coordinated, Open, Networked (ICON) principles (Goldman, et al., 2021b, https://doi.org/10.1029/2021EO153180 ) in Earth and Space Science Informatics (ESSI) and includes discussion on the opportunities and challenges of adopting them. Each commentary focuses on a different topic: (Section 2) Global collaboration, cyberinfrastructure, and data sharing; (Section 3) Machine learning for multiscale modeling; (Section 4) Aerial and satellite remote sensing for advancing Earth system model development by integrating field and ancillary data. ESSI addresses data management practices, computation and analysis, and hardware and software infrastructure. Our role in ICON science therefore involves collaborative work to assess, design, implement, and promote practices and tools that enable effective data management, discovery, integration, and reuse for interdisciplinary work in Earth and space science disciplines. Networks of diverse people with expertise across Earth, space, and data science disciplines are essential for efficient and ethical exchanges of findable, accessible, interoperable, and reusable (FAIR) research products and practices. Our challenge is then to coordinate the development of standards, curation practices, and tools that enable integrating and reusing multiple data types, software, multi‐scale models, and machine learning approaches across disciplines in a way that is as open and/or FAIR as ethically possible. This is a major endeavor that could greatly increase the pace and potential of interdisciplinary scientific discovery.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- National Aeronautics and Space Administration (NASA); National Oceanic and Atmospheric Administration (NOAA); USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Grant/Contract Number:
- AC02-05CH11231; AC05-76RL01830
- OSTI ID:
- 1862711
- Report Number(s):
- PNNL-SA-167274; e2021EA002108
- Journal Information:
- Earth and Space Science, Journal Name: Earth and Space Science Journal Issue: 4 Vol. 9; ISSN 2333-5084
- Publisher:
- American Geophysical Union (AGU)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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