IVOA Recommendation: Data Model for Astronomical DataSet Characterisation
Mireille Louys, Anita Richards, Francois Bonnarel, Alberto Micol, Igor, Chilingarian, Jonathan McDowell, the IVOA Data Model Working Group

TL;DR
This paper defines a high-level metadata model for describing the physical parameters of astronomical data sets to improve data discovery, interpretation, and manipulation across Virtual Observatory frameworks.
Contribution
It introduces a structured data model for describing astronomical data characteristics, facilitating data discovery and interoperability in VO environments.
Findings
Provides a comprehensive data model for physical parameter space
Includes detailed descriptions of data axes and sampling
Supports implementation with XML schema and UML model
Abstract
This document defines the high level metadata necessary to describe the physical parameter space of observed or simulated astronomical data sets, such as 2D-images, data cubes, X-ray event lists, IFU data, etc.. The Characterisation data model is an abstraction which can be used to derive a structured description of any relevant data and thus to facilitate its discovery and scientific interpretation. The model aims at facilitating the manipulation of heterogeneous data in any VO framework or portal. A VO Characterisation instance can include descriptions of the data axes, the range of coordinates covered by the data, and details of the data sampling and resolution on each axis. These descriptions should be in terms of physical variables, independent of instrumental signatures as far as possible. Implementations of this model has been described in the IVOA Note available at:…
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