2021/01/21 by Mathieu Servillat, M. Servillat, François Bonnarel +7
Computer Science · Decision Sciences · Engineering · Physics and Astronomy · #Astronomical Observations and Instrumentation #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Research Data Management Practices #Scientific Computing and Data Management #astro-ph.IM
paper · pdf · doi:10.48550/arxiv.2101.08691
to appear in ADASS XXX proceedings, , edited by J.-E. Ruiz and F. Pierfederici (San Francisco: ASP), ASP Conf. Ser
arxiv created 2021/01/21 · openalex publication_date 2021/01/21 · arxiv updated 2021/01/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Recently the International Virtual Observatory Alliance (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. During this session we discussed which strategies are considered by projects (observatories or data providers) to capture provenance in their context and how a end-user might query the provenance information to enhance her/his data selection and retrieval. The objective was to identify the development of tools and formats now needed to make provenance more practical needed to increase provenance take-up in the astronomical domain.