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14 - Development of robust data system for gravity and magnetic anomaly data: A case study of a community-based effort for point data

from Part V - Web services and scientific workflows

Published online by Cambridge University Press:  25 October 2011

Raed Aldouri
Affiliation:
University of Texas at El Paso
G. Randy Keller
Affiliation:
University of Oklahoma
G. Randy Keller
Affiliation:
University of Oklahoma
Chaitanya Baru
Affiliation:
University of California, San Diego
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Summary

Introduction

Key elements in various descriptions of geoinformatics as a field of research development (e.g., Sinha, 2006; www.geoinformatics.info/; Keller, this volume) include open access to data as well as a software toolbox for processing and analyzing the data. However, if a particular type of data is to be useful to a broader community for integrated analysis, raw data must be organized, edited, and formatted into a database that meets a minimal set of community standards for content, processing, and metadata (e.g., FGDC, 1998). In order to make the database useful to non-experts, it should be the foundation of a data system that includes features such as tutorials on how to use the data and software tools for data processing, analysis, and mapping.

Measurements of Earth's gravity and magnetic fields are examples of point measurements that are relatively straightforward to make and qualitatively and quantitatively interpret, and considerable amounts of these data reside in the public domain. These data are useful in a wide variety of applications ranging from groundwater, environmental and natural hazard investigations, to exploration for natural resources, and to studies of deep earth structure. Thus, they are of broad utility to the geoscience community. This chapter presents a case study of the development of a data system that is based on new databases for both gravity and magnetic field point measurements that are downloadable, and contains tutorials and related software tools that have been developed to support data analysis and integrated geologic/geophysical investigations.

Type
Chapter
Information
Geoinformatics
Cyberinfrastructure for the Solid Earth Sciences
, pp. 224 - 236
Publisher: Cambridge University Press
Print publication year: 2011

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