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Effective scientific data management is crucial for e-Science applications. Scientific data management raises challenging requirements: (1) support for not only experimental data but also context data, (2) both schema evolution and integration, (3) and compatibility with legacy data management conventions or environments. In this paper, we present a scientific data management system (called XSIGMA) which is designed to address those issues. X-SIGMA is a Grid-based integrated system for managing, integrating, and accessing scientific experimental data. A prototype system is implemented and has been being used to develop the scientific data management system for the national cyberinfrastructure project called KOCED in Korea.