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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)

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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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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Correspondence to Mathieu Servillat .

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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

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  • Online ISBN: 978-3-030-80960-7

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