DAS: a data management system for instrument tests and operations

نویسندگان

  • Marco Frailis
  • Stefano Sartor
  • Andrea Zacchei
  • Marcello Lodi
  • Roberto Cirami
  • Fabio Pasian
  • Massimo Trifoglio
  • Andrea Bulgarelli
  • Fulvio Gianotti
  • Enrico Franceschi
  • Luciano Nicastro
  • Vito Conforti
  • Andrea Zoli
  • Ricky Smart
  • Roberto Morbidelli
  • Mauro Dadina
چکیده

The Data Access System (DAS) is a metadata and data management software system, providing a reusable solution for the storage of data acquired both from telescopes and auxiliary data sources during the instrument development phases and operations. It is part of the Customizable Instrument WorkStation system (CIWS-FW), a framework for the storage, processing and quick-look at the data acquired from scientific instruments. The DAS provides a data access layer mainly targeted to software applications: quick-look displays, pre-processing pipelines and scientific workflows. It is logically organized in three main components: an intuitive and compact Data Definition Language (DAS DDL) in XML format, aimed for user-defined data types; an Application Programming Interface (DAS API), automatically adding classes and methods supporting the DDL data types, and providing an object-oriented query language; a data management component, which maps the metadata of the DDL data types in a relational Data Base Management System (DBMS), and stores the data in a shared (network) file system. With the DAS DDL, developers define the data model for a particular project, specifying for each data type the metadata attributes, the data format and layout (if applicable), and named references to related or aggregated data types. Together with the DDL user-defined data types, the DAS API acts as the only interface to store, query and retrieve the metadata and data in the DAS system, providing both an abstract interface and a data model specific one in C, C++ and Python. The mapping of metadata in the back-end database is automatic and supports several relational DBMSs, including MySQL, Oracle and PostgreSQL.

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عنوان ژورنال:
  • CoRR

دوره abs/1405.7584  شماره 

صفحات  -

تاریخ انتشار 2014