arXiv · 2609.39546
FAIR-Compliant Architecture for Heterogeneous Astronomical Data: KazVO Framework
Abstract
This paper presents the architecture of the Kazakhstani National Virtual Observatory (KazVO) - an International Virtual Observatory Alliance (IVOA) compliant node that unifies the heterogeneous observational datasets of the Fesenkov Astrophysical Institute (FAI). The architectural foundation of the system is built upon a partitioned Data Lake, a German Astrophysical Virtual Observatory (GAVO) Data Center Helper Suite (DaCHS) publishing backend, and a PostgreSQL database that maps heterogeneous metadata to the unified IVOA ObsCore standard. We follow Open Science by introducing metadata-only model featuring based on a four-class data embargo mechanism. Machine-to-machine services deployed via IVOA protocols are listed in the global Registry of Registers, enabling analysis of Kazakhstani observational assets within external clients such as Tool for OPerations on Catalogues And Tables (TOPCAT), Aladin, and PyVO. As a result, KazVO framework provides a scalable platform driven by a developed end-to-end pipeline that bridges two fundamentally distinct data types - digitized historical glass-plate heritage (1950-1997) and live operational photometric and spectroscopic digital streams from telescopes at the Assy-Turgen and Tien-Shan Observatories - opening FAI's combined data datasets to the global scientific and time-domain astrophysics community.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Ildana Izmailova, Denis Yurin, Yerlan Aimuratov, Maxim Makukov, Aleksander Serebryanskiy, Saule Shomshekova, Vitaliy Kim, Chingis Omarov, Adel Umirbayeva, Laura Aktay, Dana Kuvatova, Anton Gluchshenko, Gulnara Suliyeva, Maxim Krugov, Nadezhda Vaidman, Daulet Anarbek, Inna Reva, Gauhar Aimanova, Rashit Valiullin, Raushan Kokumbayeva. 2026-09-30. FAIR-Compliant Architecture for Heterogeneous Astronomical Data: KazVO Framework. https://arxiv.org/abs/2609.39546
Cite the original work for its findings. Save a collection to share your selection of sources.