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Towards a Provenance Management System for Astronomical Observatories

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Provenance and Annotation of Data and Processes (IPAW 2020, IPAW 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12839))

Abstract

We present here a provenance management system adapted to astronomical projects needs. We collected use cases from various astronomy projects and defined a data model in the ecosystem developed by the IVOA (International Virtual Observatory Alliance). From those use cases, we observed that some projects already have data collections generated and archived, from which the provenance has to be extracted (provenance “on top”), and some projects are building complex pipelines that automatically capture provenance information during the data processing (capture “inside”). Different tools and prototypes have been developed and tested to capture, store, access and visualize the provenance information, which participate to the shaping of a full provenance management system able to handle detailed provenance information.

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Notes

  1. 1.

    https://www.go-fair.org/fair-principles.

  2. 2.

    https://www.ivoa.net.

  3. 3.

    https://github.com/sanguillon/voprov.

  4. 4.

    https://github.com/mservillat/logprov.

  5. 5.

    https://voparis-uws-test.obspm.fr/provsap?ID=a9b7e2.

  6. 6.

    https://cta-observatory.github.io/ctapipe.

  7. 7.

    https://gitlab.cta-observatory.org/cta-computing/dpps/CTADIRAC.

  8. 8.

    http://ascl.net.

  9. 9.

    https://wiki.escape2020.de/index.php/WP3_-_OSSR.

References

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  4. Moreau, L., et al.: PROV-DM: The prov data model. W3C Recommendation (2013). http://www.w3.org/TR/prov-dm

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  6. Sanguillon, M., Arrabito, L., Boisson, C., Bregeon, J., Kosack, K., Servillat, M.: Storing Provenance information in a data processing workflow: one CTA use case. In: Ruiz, J.E., Pierfederici, F. (eds.) ADASS XXX. ASP Conference Series, vol. TBD, p. TBD (2021)

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  8. Servillat, M., Bonnarel, F., Louys, M., Sanguillon, M.: Practical provenance in astronomy. In: Ruiz, J.E., Pierfederici, F. (eds.) ADASS XXX. ASP Conference Series, vol. TBD, p. TBD (2021). https://arxiv.org/abs/2101.08691

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Acknowledgements

We acknowledge support from the ESCAPE project funded by the EU Horizon 2020 research and innovation program (Grant Agreement n824064). Additional funding was provided by the INSU (Action Spécifique Observatoire Virtuel, ASOV), the Action Fédératrice CTA at the Observatoire de Paris and the Paris Astronomical Data Centre (PADC).

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Authors and Affiliations

  1. Laboratoire Univers et Théories, Observatoire de Paris, Université PSL, CNRS, Université de Paris, 92190, Meudon, France

    Mathieu Servillat & Catherine Boisson

  2. Centre de Données astronomiques de Strasbourg, Observatoire Astronomique de Strasbourg, Université de Strasbourg, CNRS-UMR 7550, Strasbourg, France

    François Bonnarel & Mireille Louys

  3. ICube Laboratory, Université de Strasbourg, CNRS-UMR 7357, Strasbourg, France

    Mireille Louys

  4. Instituto de Astrofísica de Andalucía, Granada, Spain

    Jose Enrique Ruiz

  5. Laboratoire Univers et Particules de Montpellier, Université de Montpellier, CNRS/IN2P3, Montpellier, France

    Michèle Sanguillon

Authors
  1. Mathieu Servillat
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  2. François Bonnarel
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  3. Catherine Boisson
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  4. Mireille Louys
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  5. Jose Enrique Ruiz
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  6. Michèle Sanguillon
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Corresponding author

Correspondence to Mathieu Servillat .

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Editors and Affiliations

  1. Illinois Institute of Technology, Chicago, IL, USA

    Boris Glavic

  2. Fluminense Federal University, Niterói, Brazil

    Vanessa Braganholo

  3. Northern Illinois University, DeKalb, IL, USA

    David Koop

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Servillat, M., Bonnarel, F., Boisson, C., Louys, M., Ruiz, J.E., Sanguillon, M. (2021). Towards a Provenance Management System for Astronomical Observatories. In: Glavic, B., Braganholo, V., Koop, D. (eds) Provenance and Annotation of Data and Processes. IPAW IPAW 2020 2021. Lecture Notes in Computer Science(), vol 12839. Springer, Cham. https://doi.org/10.1007/978-3-030-80960-7_20

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  • DOI: https://doi.org/10.1007/978-3-030-80960-7_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80959-1

  • Online ISBN: 978-3-030-80960-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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