Provenance for Astrophysical Data

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 scie...

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Published inProvenance and Annotation of Data and Processes Vol. 11017; pp. 252 - 256
Main Authors Galkin, Anastasia, Riebe, Kristin, Streicher, Ole, Bonnarel, Francois, Louys, Mireille, Sanguillon, Michèle, Servillat, Mathieu, Nullmeier, Markus
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Artificial Intelligence
Astronomy
Astrophysics
Computer Science
Data management
Escience
IVOA
Provenance
Provenance
Astrophysics
Escience
Data management
IVOA
Astronomy
Online AccessGet full text
ISBN3319983784
9783319983783
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-98379-0_30

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Abstract 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.
AbstractList 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.
Author Riebe, Kristin
Louys, Mireille
Streicher, Ole
Galkin, Anastasia
Nullmeier, Markus
Bonnarel, Francois
Servillat, Mathieu
Sanguillon, Michèle
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Keywords Provenance
Astrophysics
Escience
Data management
IVOA
Astronomy
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Language English
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Notes This project is partially funded by BMBF 05A14BAD and 05AI7BA2S. Additional funding is provided by ASTERICS (http://www.asterics2020.eu/), a project supported by the European Commission Framework Programme Horizon 2020 Research and Innovation action under grant agreement no. 653477. Further funding was provided by the German Virtual Observatory (GAVO), the French Virtual Observatory (ASOV OV-France), and Paris Astronomical Data Centre (PADC).
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PublicationSeriesSubtitle Information Systems and Applications, incl. Internet/Web, and HCI
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PublicationSubtitle 7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings
PublicationTitle Provenance and Annotation of Data and Processes
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StartPage 252
SubjectTerms Artificial Intelligence
Astronomy
Astrophysics
Computer Science
Data management
Escience
IVOA
Provenance
Title Provenance for Astrophysical Data
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