DM work package : Characterisation Data Model
!!!New page(Feb 2010)!!! Work in progress : Site under re construction
Goal
This workpackage is aiming at defining the high level metadata necessary to describe the
astronomical data sets on their physical axes, either observed or simulated,
for various types of data like 2D-images, data cubes, X-ray event lists, IFU
data, etc..
The goal is to provide an abstraction which contains structured
information for all these types of data so that discovery and interpretation
is feasible in a general framework, and can be used jointly for science cases.
The model aims at facilitating the manipulation of heterogeneous data in VO
portals. A VO Characterization instance can include descriptions of the data
axes, the range of coordinates covered by the data, and information on the
data sampling and resolution on each axis. These descriptions are in terms of
physical variables, with the specific instrumental signature abstracted away.
Characterisation 1 Legacy
* Characterisation Data Model effort led to a publication of a version 1 of the Data Model in 2008
(see legacy page)
Towards Characterisation version 2
From September 2007 on, a new effort started to take into account both dissemination of the model in Data centers and completion of the model for some complex use cases.
List of participants
Mireille.Louys, Alberto.Micol, Igor.Chilingarian, Peter.Skoda, Fabien.Chereau, Carlos.Rodrigo, Miguel.Cervino, Juan De Santander, François Bonnarel, Anita Richards, J.Mc Dowell, Gerard Lemson.
After October 2008 Interop meeting work mainly involved I.Chilingarian , M. Louys and F.Bonnarel
Sorting out the issues
In April May 2008 we started to
discuss the issues and Fabien proposed a
new definition of the characterisation concept.
Building Examples
A couple of examples in XML were developed by extending Characterisation schema 1.11 to fullfill following use cases:
* Polarization images : with 3 flux axes (
xml,
Grid view)
* Polarization images : with one complex flux axis
* Complex characterisation (CCD mosaic case)
Discussion on these examples can be read there.
Model Simplification
The discussion also enhanced the difficulties to implement the data models in services and archives due to ill-definition of some concepts, complexity of xml definition or lack of protocols to transport model-consistent metadata. Summary of the discussion can be found here. Fabien Chereau presented his own views at the baltimore Interop, and some
JSON serialisation of the characterisation datamodel has been proposed by T.Boch.