2008Unpublished venueRequires access

End-User Interest in Geotechnical Data Management Systems

Loren L. Turner, Tôru Saitô, Paul W. Grimes

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Abstract

In conducting geotechnical site investigations, large volumes of subsurface information and associated test data are generated. The current practice at the California Department of Transportation relies on paper-based filing systems that are often difficult and cumbersome to access by users. For this task, current practices in field data collection, laboratory testing, and boring log creation have been examined for potential improvements. Pilot tools were developed for data modeling, data collection, and data exchange and dissemination, three critical components in developing an effective data management system. This report includes the entire Calrtans Geotechnical Laboratory Data Management System manual as Appendix A.

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What this paper is about

In conducting geotechnical site investigations, large volumes of subsurface information and associated test data are generated. The current practice at the California Department of Transportation relies on paper-based filing systems that are often difficult and cumbersome to access by users. For this task, current practices in field data collection, laboratory testing, and boring log creation have been examined for potential improvements. Pilot tools were developed for data modeling, data collection, and data exchange and dissemination, three critical components in developing an effective data management system. This report includes the entire Calrtans Geotechnical Laboratory Data Management System manual as Appendix A.

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Available abstract

In conducting geotechnical site investigations, large volumes of subsurface information and associated test data are generated. The current practice at the California Department of Transportation relies on paper-based filing systems that are often difficult and cumbersome to access by users. For this task, current practices in field data collection, laboratory testing, and boring log creation have been examined for potential improvements. Pilot tools were developed for data modeling, data collection, and data exchange and dissemination, three critical components in developing an effective data management system. This report includes the entire Calrtans Geotechnical Laboratory Data Management System manual as Appendix A.

Key concepts: Data collection, Data management, Computer science, Task (project management), Engineering, Database, Systems engineering, Statistics

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