Disciplinary Improvements: Accelerating Geoscience Discovery with Madrigal: HAPI+SPASE Integration for Transformative Open Science

Contemporary Heliophysics research demands the integration of diverse datasets, yet preparing analysis-ready data across multiple sources remains complex and inefficient. This project addresses the need for seamless data discovery and access in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles and Open Science (OS) practices. Targeting NSF FAIROS goals within the CI PAOS and Geosciences directorates, the project will interconnect the NSF-sponsored Madrigal Database—a major archive of ground and space based geoscience data—with two key data standardization frameworks: the Heliophysics Application Programming Interface (HAPI) and the Space Physics Archive Search and Extract (SPASE) data model. Key activities include the development of a Madrigal-HAPI server, metadata converters between HAPI and SPASE, a SPASE metadata plugin for Madrigal, community training, and quantitative evaluation of the tools. By enhancing interoperability and reducing barriers to data access and synthesis, this work will significantly advance open science in space physics.