Data and Information Services for Interdisciplinary Research and Applications in Earth Science
Data and Information Services for Interdisciplinary Research and Applications in Earth Science
Session ID#: 120406
Session Description:
This session seeks innovative presentations for interdisciplinary research and applications, including but not limited to, on Earth Science data service activities. Presentations addressing the specific industry and societal needs, best practices, learned lessons and new challenges in cloud computing, big data, AI/ML (artificial intelligent/machine learning), data provenance, and scientific reproducibility, regarding information access, visualization, and analysis, are highly encouraged. Discussion of challenges for future data services are also welcome.
Making Earth Science interdisciplinary data findable, accessible, interoperable and reusable (the FAIR Data Principles) is essential in research as well as in user communities. Adopting the FAIR data principles towards sustainable solutions in Earth Science is the path to open science. The goal of this session is to provide a platform for speakers from academy, industry, government, and community stakeholders to discuss the common challenges and solutions with regard to open earth science.
Co-Sponsor(s):
- AMS: American Meteorological Society -
Index Terms:
1912 Data management, preservation, rescue [INFORMATICS]
1914 Data mining [INFORMATICS]
1942 Machine learning [INFORMATICS]
1994 Visualization and portrayal [INFORMATICS]
Primary Convener: Menglin Jin, University of Maryland College Park, College Park, MD, United States and Zhong Liu
Conveners: Zhong Liu, NASA GSFC GES DISC (CSISS, George Mason University), Greenbelt, MD, United States, Vasco Manuel Mantas, University of Coimbra, Portugal, Department of Earth Sciences, Coimbra, Portugal, Jennifer Wei, NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States and Zhong Liu
Primary Liaison: Jennifer Wei, NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States and Zhong Liu
See more of: Earth and Space Science Informatics