%0 Unpublished work
%T Provenance for Astrophysical Data
%+ Leibniz Institute for Astrophysics Potsdam (AIP)
%+ Observatoire astronomique de Strasbourg (OAS)
%+ Observatoire astronomique de Strasbourg (ObAS)
%+ Laboratoire Univers et Particules de Montpellier (LUPM)
%+ Laboratoire Univers et Théories (LUTH (UMR_8102))
%+ Astronomische Rechen-Institut [Heidelberg] (ARI)
%A Galkin, Anastasia
%A Riebe, Kristin
%A Streicher, Ole
%A Bonnarel, François
%A Louys, Mireille
%A Sanguillon, Michèle
%A Servillat, Mathieu
%A Nullmeier, Markus
%< avec comité de lecture
%@ 978-3-319-98378-3
%B IPAW 2018
%C London, United Kingdom
%Y Springer
%S Provenance and Annotation of Data and Processes
%P 252-256
%8 2018-09-06
%D 2018
%R 10.1007/978-3-319-98379-0_30
%K Astronomy
%K Astrophysics
%K Escience
%K Data management
%K Provenance
%K IVOA
%Z Computer Science [cs]/Artificial Intelligence [cs.AI]Proceedings
%X 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.
%G English
%L hal-01872708
%U https://hal.science/hal-01872708
%~ IN2P3
%~ OBSPM
%~ INSU
%~ UNIV-PARIS7
%~ CNRS
%~ UNIV-STRASBG1
%~ LUTH
%~ UNIV-STRASBG
%~ LUPM
%~ PSL
%~ USPC
%~ UNIV-MONTPELLIER
%~ SITE-ALSACE
%~ UNIV-PARIS
%~ UP-SCIENCES
%~ OBSPM-PSL
%~ UM-2015-2021
%~ IA