Building an Archive with Saada
Laurent Michel, Christian Motch, Hoan Ngoc Nguyen and, Fran\c{c}ois-Xavier Pineau
TL;DR
Saada is a tool that converts heterogeneous astronomical data files into a comprehensive database with web and API access, supporting VO services and complex data relationships without coding.
Contribution
It introduces a no-code approach to building versatile, VO-compatible astronomical data archives with rich interfaces and data linking capabilities.
Findings
Supports multiple data categories and collections
Provides a homogenous view of heterogeneous data
Enables complex data-mining queries
Abstract
Saada transforms a set of heterogeneous FITS files or VOTables of various categories (images, tables, spectra ...) in a database without writing code. Databases created with Saada come with a rich Web interface and an Application Programming Interface (API). They support the four most common VO services. Such databases can mix various categories of data in multiple collections. They allow a direct access to the original data while providing a homogenous view thanks to an internal data model compatible with the characterization axis defined by the VO. The data collections can be bound to each other with persistent links making relevant browsing paths and allowing data-mining oriented queries.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.