Speaker
Description
Improving data discoverability and interoperability is one of the ESAC Science Data Centre’s (ESDC) priorities for promoting the open exchange of data from ESA’s Science Archives, including the Heliophysics Archive (HPA). To accomplish this goal, ESA is targeting to mint a DOI per dataset available in the ESDC archives. Typically, each major domain of space science makes use of their metadata standard to seek for the necessary information to mint a DOI.
The HPA makes use of the Space Physics Archive Search and Extract (SPASE, https://spase-group.org/) metadata model, created and maintained to meet the heliophysics community needs, to describe the calibrated and value-added datasets of instruments from all the ESA Heliophysics missions. The HPA makes all datasets’ SPASE resources publicly available via the HPA GitHub (https://github.com/HPA-ESDC-ESA-INT/SPASE/) after a review by the respective Principal Investigator (PI) team. Currently available in the HPA GitHub are nearly all instruments calibrated and derived datasets from Cluster, and three out of four in-situ instruments datasets for Solar Orbiter. In the near future, SPASE dataset descriptions will be made available for Solar Orbiter remote sensing instruments and progressively for SOHO instruments. Their generation started with a manual review of the automatic Common Data Format (CDF) to SPASE conversion by the ADAPT tool, developed at UCLA. It is now moving to a semi-automatic generation based on Python script accessing Table Access Protocol (TAP) server from the ESDC archives. SPASE to DataCite and Schema.org converters will then be used to mint the DOIs and to generate the SPASE landing pages' embedded metadata responsible for enhanced discovery via search engines, respectively.