ESPAS aims at building the e-Infrastructure necessary to support the access to observations, the modeling and prediction of the near-Earth space environment extending from the Earth's atmosphere up to the outer radiation belts. ESPAS interface will provide access to more than 40 data repositories containing heterogeneous data from ground and space, in situ and remote sensed, developed for the needs of different users. To achieve this main goal, the following detailed objectives are addressed:
- The infrastructure must integrate heterogeneous data from multiple providers. To do so, it must establish policies on identification, access, availability, quality, sharing and re-use of the data (or metadata) of the participating content providers.
- The infrastructure must enable data access across multiple data sources, each one focused on a specific research topic. Since the search results are related to datasets and their descriptions (metadata), it is essential that they are delivered in a scientist-friendly manner. To facilitate the search, a number of workflows (data flows) will be employed within the core ESPAS system.
- The infrastructure will provide value-added services to explore, mine (events identification), and visualize the integrated metadata.
- The infrastructure will be used as a test-bed for setting up the methodologies and standards for models' validation, through which the output of models developed by the community will be optimized. This will lead to validated predictions of the conditions in the near-geospace environment, able to support a number of operational applications.
- The infrastructure will be extensively tested through the application of several use cases, designed to serve the needs of the wide interdisciplinary users and producers communities for computational intensive science carried out in highly distributed network environment.
- ESPAS will be an integral part of the wider European scientific infrastructures and the integrated research Infrormation space and will be linked to other existing or emerging infrastructures. To so, it must carry on and extend the policies and procedures issued at its data providers on topics of data openness, quality, identification.