Managing and preserving large data volume in data grid environment

In this paper we report on architectural design carried out the data grid environment for managing and preserving large scientific data volume. Our aim is to provide design of infrastructure in research data access, share, and collaboration. We describe data grid architecture by explain the network project design, work flow project management, and data management components. By this design, we believe that many large-scale scientific data experiments, simulations, and management could be generated.