Data Model Working Group : November 2024

Data discovery in the Virtual Observatory is supported by the ObsCore data model, which identifies key observation metadata that can be queried to search for data products of interest to the end user. I review the current ObsCore documents and definitions from the perspective of an X-ray astrophysicist who wants to use ObsCore to support data discovery of the scientifically rich Chandra X-ray Observatory data archive and specifically the numerous Chandra Source Catalog data products. I discuss which ObsCore components appear to work well for high-energy astrophysics data, what could be improved, and what appears to be missing.

After being delayed due to the MIVOT recommendation process, the MANGO data model is now a VO working draft.
The purpose of MANGO, which stands for MO-del for AN-notating G-enericO-objects, is to add an upper level of description to the tabular data of query responses. It allows metadata to be extended, complex quantities to be reconstructed from multipl column values and properties to be linked together. It also allows to specify the origin of the data.
I'll give an overview of the model and the tools available to exercise it.
This talk is an invitation for people to contribute to the REC process.