Experimental Astronomy

, Volume 45, Issue 1, pp 41–55 | Cite as

A new archival infrastructure for highly-structured astronomical data

  • Erik Dovgan
  • Cristina Knapic
  • Massimo Sponza
  • Riccardo Smareglia
Original Article


With the advent of the 2020 Radio Astronomy Telescopes era, the amount and format of the radioastronomical data is becoming a massive and performance-critical challenge. Such an evolution of data models and data formats require new data archiving techniques that allow massive and fast storage of data that are at the same time also efficiently processed. A useful expertise for efficient archiviation has been obtained through data archiving of Medicina and Noto Radio Telescopes. The presented archival infrastructure named the Radio Archive stores and handles various formats, such as FITS, MBFITS, and VLBI’s XML, which includes description and ancillary files. The modeling and architecture of the archive fulfill all the requirements of both data persistence and easy data discovery and exploitation. The presented archive already complies with the Virtual Observatory directives, therefore future service implementations will also be VO compliant. This article presents the Radio Archive services and tools, from the data acquisition to the end-user data utilization.


Radioastronomy Archives Big data 



The authors acknowledge the financial support from the Slovenian Research Agency (research project funding No. Z2-7581, and research core funding No. P2-0209).


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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Astronomical Observatory of TriesteNational Institute for AstrophysicsTriesteItaly
  2. 2.Department of Intelligent SystemsJožef Stefan InstituteLjubljanaSlovenia

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