Data Management in Structural Engineering Experiment Grid

Abstract

In Structural Engineering Experiment Grid (SEEGrid), there are huge amounts of heterogeneous data distributed in different experimental sites. This paper summarizes a conceptual model of the experimental data, and based on this conceptual model, Structural Engineering Experimental Data Management Framework (SEEDMF) is proposed to manage the structured data and unstructured. In addition, the heterogeneity of structured data, which can be overcome by SEEDMF, is discussed in detail. Finally, the portal of Engineering Experimental Data Management System (SEEDMS) which is a part of SEE-Grid is demonstrated.