The growth of astrophysical data from space-borne missions, ground-based telescopes, and simulations from theoretical models, which have different services and data stores, has been exponential. The latter led to the necessity of unified ways of describing and accessing the data. Specific standards have to be defined and maintained to achieve this goal. The International Virtual Observatory Alliance (IVOA) regulates these standards which also must follow the FAIR principles for data management (Findable, Accessible, Interoperable, Reusable). The Virtual Observatory (VO) provides access to tools and utilities to work with data at different wavelengths. The exploration of gamma-ray data analysis in the FAIR context is still under development.

In this contribution, we illustrate on how the VO can facilitate scientific work in the gamma-ray astronomy domain nowadays. In the context of the FAIR principles, we present a system that performs a full analysis of H.E.S.S. public data on-the-fly using Gammapy on an interoperable job management platform. To comply with those principles, we must provide the detailed provenance of the analysis results. The coarse provenance is automatically stored on the platform, but we also improved the data reusability by capturing detailed provenance information directly in the Gammapy analysis script.