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Citation of evolving data in distributed asynchronous infrastructures

Published online by Cambridge University Press:  12 October 2020

C. M. Zwölf ,
N. Moreau ,
Y. A. Ba  and
M. L. Dubernet Open the ORCID record for M. L. Dubernet [Opens in a new window]
C. M. Zwölf
Affiliation:
LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne University, 5 Place Janssen, 92190 Meudon, France
N. Moreau
Affiliation:
LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne University, 5 Place Janssen, 92190 Meudon, France
Y. A. Ba
Affiliation:
LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne University, 5 Place Janssen, 92190 Meudon, France
M. L. Dubernet
Affiliation:
LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne University, 5 Place Janssen, 92190 Meudon, France
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Abstract

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The VAMDC Consortium intended to find a way for users to cite the datasets accessed through the infrastructure. The Research Data Alliance Data citation working group provided the researchers and data centres communities with a recommendation to identify and cite dynamic data. This recommendation perfectly matched the VAMDC needs: the proposed solution relies on a query centric view and the set-up of a Query Store. Data should be stored in a versioned time-stamped manner and accessed through queries. The Query Store we implemented for VAMDC is interlinked with Zenodo. Since Zenodo is indexed in OpenAIRE and since the latter implements Scholix, VAMDC indirectly implements Scholix via its Query Store. The paper outlines the successes and limitations of the above approach.

Keywords

standardsatomic datamolecular dataastronomical data bases: miscellaneous
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 15 , Symposium S350: Laboratory Astrophysics: From Observations to Interpretation , April 2019 , pp. 392 - 393
Copyright
© International Astronomical Union 2020

References

Asmi, A., Rauber, A., Pröll, S., & van Uytvanck, D. 2016, Treatise in Geochemistry 1 (Oxford and San Diego: Elsevier), p. 17 EGU General Assembly Conference Abstracts, vol. 18, p. EPSC2016–7456Google Scholar
Dubernet, M.-L., Antony, B., Ba, Y.-A., Babikov, Y., Bartschat, K., Boudon, V., et al. 2016, J. Phys. B: At. Mol. Opt. Phys., 49, 074003 CrossRefGoogle Scholar
Moreau, N., Zwölf, C. M., Ba, Y. A., Richard, C., Boudon, V., Dubernet, M. L. 2018, Galaxies, 6, 105 CrossRefGoogle Scholar
Zwölf, C. M., Moreau, N., Ba, Y. A., Dubernet, M.-L. 2019, Data Science Journal, 18, 4 CrossRefGoogle Scholar