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Title: Department of Energy's Biological and Environmental Research Strategic Data Roadmap for Earth System Science

Abstract

Rapid advances in experimental, sensor, and computational technologies and techniques are driving exponential growth in the volume, acquisition rate, variety, and complexity of scientific data. This wealth of scientifically meaningful data has tremendous potential to lead to scientific discovery. However, to achieve scientific breakthroughs, these data must be exploitable—they must be analyzed effectively and efficiently and the results shared and communicated easily within the wider Department of Energy’s (DOE’s) Biological and Environmental Research (BER) Climate and Environmental Sciences Division (CESD) community. The explosion in data complexity and scale makes these tasks exceedingly difficult to achieve, particularly given that an increasing number of disciplines are working across techniques, integrating simulation and experimental or observational results (see Table 5 in Appendix 2). Consequently, we need new approaches to data management, analysis, and visualization that provide research teams with easy-to-use and scalable end-to-end solutions. These solutions must facilitate (and where feasible, automate and capture) every stage in the data lifecycle (shown in Figure 1), from collection to management, annotation, sharing, discovery, analysis, and visualization. In addition, the core functionalities are the same across climate science communities, but they require customization to adapt to specific needs and fit into research and analysis workflows. Tomore » this end, the mission of CESD’s Data and Informatics Program is to integrate all existing and future distributed CESD data holdings into a seamless and unified environment for the acceleration of Earth system science.« less

Authors:
 [1];  [2];  [2];  [2];  [3]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1132005
Report Number(s):
LLNL-TR-653745
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Williams, Dean N., Palanisamy, Giri, Shipman, Galen, Boden, Thomas A., and Voyles, Jimmy W. Department of Energy's Biological and Environmental Research Strategic Data Roadmap for Earth System Science. United States: N. p., 2014. Web. doi:10.2172/1132005.
Williams, Dean N., Palanisamy, Giri, Shipman, Galen, Boden, Thomas A., & Voyles, Jimmy W. Department of Energy's Biological and Environmental Research Strategic Data Roadmap for Earth System Science. United States. https://doi.org/10.2172/1132005
Williams, Dean N., Palanisamy, Giri, Shipman, Galen, Boden, Thomas A., and Voyles, Jimmy W. 2014. "Department of Energy's Biological and Environmental Research Strategic Data Roadmap for Earth System Science". United States. https://doi.org/10.2172/1132005. https://www.osti.gov/servlets/purl/1132005.
@article{osti_1132005,
title = {Department of Energy's Biological and Environmental Research Strategic Data Roadmap for Earth System Science},
author = {Williams, Dean N. and Palanisamy, Giri and Shipman, Galen and Boden, Thomas A. and Voyles, Jimmy W.},
abstractNote = {Rapid advances in experimental, sensor, and computational technologies and techniques are driving exponential growth in the volume, acquisition rate, variety, and complexity of scientific data. This wealth of scientifically meaningful data has tremendous potential to lead to scientific discovery. However, to achieve scientific breakthroughs, these data must be exploitable—they must be analyzed effectively and efficiently and the results shared and communicated easily within the wider Department of Energy’s (DOE’s) Biological and Environmental Research (BER) Climate and Environmental Sciences Division (CESD) community. The explosion in data complexity and scale makes these tasks exceedingly difficult to achieve, particularly given that an increasing number of disciplines are working across techniques, integrating simulation and experimental or observational results (see Table 5 in Appendix 2). Consequently, we need new approaches to data management, analysis, and visualization that provide research teams with easy-to-use and scalable end-to-end solutions. These solutions must facilitate (and where feasible, automate and capture) every stage in the data lifecycle (shown in Figure 1), from collection to management, annotation, sharing, discovery, analysis, and visualization. In addition, the core functionalities are the same across climate science communities, but they require customization to adapt to specific needs and fit into research and analysis workflows. To this end, the mission of CESD’s Data and Informatics Program is to integrate all existing and future distributed CESD data holdings into a seamless and unified environment for the acceleration of Earth system science.},
doi = {10.2172/1132005},
url = {https://www.osti.gov/biblio/1132005}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Apr 25 00:00:00 EDT 2014},
month = {Fri Apr 25 00:00:00 EDT 2014}
}