Space Weather Information Architecture and Its Role in Enhancing Data Access and Utilization

Block 1 Discussion:

Block 2 Discussion:

The space weather community has entered the era of big data for almost a decade now. Research analysis and modelling efforts to understand and forecast the space weather impact of solar eruptive events rely largely on the preservation, accessibility and usability of diverse heliophysics and space weather data products (space-based and ground-based). The growing data complexity and volume imply the need for a coherent information architecture that uses data standards to support data and information flows effectively. The growing user diversity also requires that data to be readily and independently usable. Standards for data models, metadata and data access protocols can enhance data distribution and support data mining and data-model comparison. Several standards are already in use in the heliophysics and space weather community, e.g. Space Physics Archive Search And Extract (SPASE), Heliophysics API (HAPI), Common Data Format (CDF) or the Open Geospatial Consortium (OGC). In fact, both SPASE and HAPI are now the standards for metadata and access protocol recommended by the COSPAR Panel of Space Weather (see The use of different standards raises further issues about interoperability and compatibility. 

For this session, we invite submissions describing current or planned usage of data model standards from space weather or more generally heliophysics data providers. We also welcome contributions on standardised data access and exchange and analysis tools that will also enable international coordination and collaboration. Applications of these tools in supporting diverse user communities, data-model comparison, data mining and machine learning are strongly encouraged.

MSO:  Arnaud Masson, European Space Agency, Spain

DO: Shing Fung, NASA/GSFC, USA