Data Model Working Group Sessions: May 2023, Bologna, Italy

Session open for discussion on a roadmap leading to concrete implementation using models.

The talk agenda is not finalized yet but the following topics will be presented

• Reminder of the WG strategy:
• Historic reminder
• Building component models (MCT/PhotDM)
• Design of an annotation syntax (MIVOT) which is model-agnostic, which works with any data arrangement and which is isolated into the VOTable
• Design of models aggregating components to annotated archival data (MANGO) or science products (Cube)
• Plan for MIVOT implementations
• Cookbook
• Client side: Astropy/PyVO
• Server side: VOLLT extension
• Mango draft:
• MANGO is an open model designed to improve the description of archival data by providing mechanisms to connect various columns together for building complex entities and to enhance mapped quantities with some semantic, coordinate systems and coverage information.

Now that the core models of the Cube family (Meas/Coords) are completed, we return our attention to the next group.

The information in this model is a consolidation of content from several of the early core models (ObsCore, Spectrum, Characterization). The descriptions of many of the elements are derived from the Resource Metadata standard. The idea of this model is to centralize this information for other datamodels to use (Cube, Mango, Spectrum2, TimeSeries).