DSDC: A Domain Scientific Data Cloud Based on Virtual Dataspaces

New challenges for large-scale data management and sharing have arisen due to the information evolution from massive data to "big data". Domain Scientific Data Cloud (DSDC) based on virtual data space is proposed in this paper to solve the problems of "big data" management, reusability and service in scientific field. The application of DSDC (MSDC) is also introduced, which is used in the field of materials science. Virtual data space is then defined. In order to build the data space, an ontology and logical resources model is discussed. A new mapping and evolutionary model is described as a "pay-as-you-go" fashion virtual data space, which introduces a "partial schema, semi-automatically evolution" method. A scientific data cloud application model is also proposed for defining service templates. Finally, the DSDC is verified by material service safety evaluation, the results show that DSDC is efficient in scientific data management and suitable for data-intensive application.