In order to archive, analyze, and simulate ultra-high volumes of data, DIAS has an massive data storage/analytical space totaling 25 Pb and an analysis cluster exceeding 16 cores x 120 nodes (as of October 2015). It is also connected to the National Institute of Informatics’ Science Information Network (SINET) for high-speed data transfer with data centers and supercomputers at remote organizations.

Various data processing applications and analysis tools are also provided in addition to the vast quantity of multidisciplinary global environmental data stored on the DIAS infrastructure system, which has a robust database and an enormous analytical space. The application of this kind of integrated data infrastructure is expected to simplify the superpositioning and related analysis of different data sets and enable the creation of new knowledge and services yet to be realized by isolated research.

It will also be possible to reuse tools developed in pursuit of a given goal for other objectives, opening the path to horizontal expansion across disciplines. Ultimately, the DIAS infrastructure system can be said to possess a structure whereby applications are expanded and enhanced in a virtuous cycle in the community, based on a growth-type database and analytical space.

Applications and Tools

The DIAS applications and tools are the software and services packaged on the infrastructure system that implement data storage/search, analysis, visualization, and other functions planned and produced cooperatively by scientists working in data and other fields, with the objective of creating scientific knowledge and finding concrete solutions to global environmental and local social issues. These applications and tools not only simplify access to global and regional environment data sets, but are also equipped with functions that specify a temporal or spatial range of interest to the user.

To date, the application has mainly been applied to the field of climate and hydrology in relation to climate change measures. Moving forward, applications and tools using data from the field of biological and ecological systems, as well as multidisciplinary fields such as health, agriculture, and urban planning are planned to be added in a virtuous cycle, eventually leading to integrated problem resolution and the creation of new research fields.