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Proceedings/Recueil Des Communications Année : 2018

Provenance for Astrophysical Data

Résumé

In the context of astronomy projects, provenance information is important to enable scientists to trace back the origin of a dataset. It is used to learn about the people and organizations involved in a project and assess the quality of the dataset as well as the usefulness of the dataset their scientific work. As part of the data model group in the International Virtual Observatory Alliance (IVOA) we are working on the definition of a provenance data model for astronomy which shall describe how provenance metadata can be modeled, stored and exchanged. The data model is being implemented for different projects and use cases.
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Dates et versions

hal-01872708 , version 1 (12-09-2018)

Identifiants

Citer

Anastasia Galkin, Kristin Riebe, Ole Streicher, François Bonnarel, Mireille Louys, et al.. Provenance for Astrophysical Data. Springer. IPAW 2018, Jul 2018, London, United Kingdom. pp.252-256, 2018, Provenance and Annotation of Data and Processes, 978-3-319-98378-3. ⟨10.1007/978-3-319-98379-0_30⟩. ⟨hal-01872708⟩
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