Speaker
Description
HAPI is a widely adopted standard for accessing heliophysics and space weather time-series data. Its success comes from its simplicity: it is straightforward for data providers to implement and easy for client software to use. We present optional extensions to the specification that preserve this simplicity while enabling greater interoperability and automated, semantic interpretation of data. These include (1) a mechanism for expressing relationships among datasets through a new “linkages/” endpoint and (2) schemas that connect HAPI parameters to scientifically meaningful measurement types. The new extensions are designed to remain backward compatible with existing HAPI servers and clients. We will present early examples of these capabilities and discuss how they can support data discovery, comparison, and integration across distributed ground- and space-based archives.