Practical Provenance in Astronomy. (arXiv:2101.08691v1 [astro-ph.IM])

Practical Provenance in Astronomy. (arXiv:2101.08691v1 [astro-ph.IM])
<a href="http://arxiv.org/find/astro-ph/1/au:+Servillat_M/0/1/0/all/0/1">Mathieu Servillat</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Bonnarel_F/0/1/0/all/0/1">Fran&#xe7;ois Bonnarel</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Louys_M/0/1/0/all/0/1">Mireille Louys</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Sanguillon_M/0/1/0/all/0/1">Mich&#xe8;le Sanguillon</a>

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.

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.

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