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A new archival infrastructure for highly-structured astronomical data
- Source :
- Experimental Astronomy. 45:41-55
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- 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.
- Subjects :
- Multimedia
010308 nuclear & particles physics
Computer science
computer.internet_protocol
business.industry
Big data
Data discovery
Astronomy and Astrophysics
Virtual observatory
computer.software_genre
01 natural sciences
Data modeling
Radio telescope
Space and Planetary Science
0103 physical sciences
Very-long-baseline interferometry
Persistent data structure
business
010303 astronomy & astrophysics
computer
XML
Subjects
Details
- ISSN :
- 15729508 and 09226435
- Volume :
- 45
- Database :
- OpenAIRE
- Journal :
- Experimental Astronomy
- Accession number :
- edsair.doi...........e3f77629c8511a3afc5e855b8b46bac2