François Bonnarel


Affiliation – CDS ObAS CNRS/Université de Strasbourg Position – Researchengineer Github ID – bonnarel


Practical Provenance in Astronomy

Recently the IVOA released a standard to structure provenance metadata and several implementations are in development in order to capture, store, access and visualize the provenance of astronomy data products. This BoF will be focused on practical needs for provenance in astronomy. A growing number of projects express the requirement to propose FAIR data (Findable, Accessible, Interoperable and Reusable) and thus manage provenance information to ensure the quality, reliability and trustworthiness of this data. The concepts are in place, but now, applied specifications and practical tools are needed to answer concrete use cases. We propose to discuss which strategies are considered by your projects (observatories or data providers) to capture provenance in your context and how you consider a end-user might query the provenance information to enhance her/his data selection and retrieval. The objective is to identify the development of tools and formats now needed to make provenance more practical.

If you are interested to participate in this BoF on provenance, please fill-in this questionnaire:

This BoF is intended to be an open discussion. Except a short introduction, there will be no presentation, but you can find detailed presentations given in September during a provenance workshop within the ESCAPE European project, here is the summary (with access to all contributions):

For more details on the IVOA Provenance Data Model, the recommendation is accessible here:

CDS "virtual" Simple Image Access service

CDS "virtual" Simple Image Access service

F.Bonnarel (CDS), T.Boch (CDS), C.Bot (CDS), Chaitra (INAF OAT), P.Fernique (CDS), L.Michel (ObAS)

Taking benefit of the uprising of HiPS technology in astronomy allowing to homogenize access to pixel data and thanks to the large collection of HiPS it created and operates, CDS recently developed the hips2fits service. This service allows to provide a cutout and reprojection functionality for a large collection of image surveys. In this poster, we present the SIAP2 interface we developed to allow discovery and tuning of images that can be generated by hips2fits. The interface query responses are built using the MocServer information. This service paves the way towards a new generation of virtual data Simple Image Access services.