The virtual atomic and molecular data centre (VAMDC) consortium

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Author(s)
Dubernet, ML
Antony, BK
Ba, YA
Babikov, Yu L
Bartschat, K
Boudon, V
Braams, BJ
Chung, H-K
Daniel, F
Delahaye, F
Del Zanna, G
de Urquijo, J
Dimitrijevic, MS
Domaracka, A
et al.
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2016
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Abstract

The Virtual Atomic and Molecular Data Centre (VAMDC) Consortium is a worldwide consortium which federates atomic and molecular databases through an e-science infrastructure and an organisation to support this activity. About 90% of the inter-connected databases handle data that are used for the interpretation of astronomical spectra and for modelling in many fields of astrophysics. Recently the VAMDC Consortium has connected databases from the radiation damage and the plasma communities, as well as promoting the publication of data from Indian institutes. This paper describes how the VAMDC Consortium is organised for the optimal distribution of atomic and molecular data for scientific research. It is noted that the VAMDC Consortium strongly advocates that authors of research papers using data cite the original experimental and theoretical papers as well as the relevant databases.

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Journal of Physics B: Atomic, Molecular and Optical Physics

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49

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7

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© 2016 IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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Atomic, molecular and optical physics

Theoretical and computational chemistry

Nuclear and plasma physics

Particle and high energy physics

Science & Technology

Physical Sciences

Optics

Physics, Atomic, Molecular & Chemical

Physics

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Dubernet, ML; Antony, BK; Ba, YA; Babikov, YL; Bartschat, K; Boudon, V; Braams, BJ; Chung, H-K; Daniel, F; Delahaye, F; Del Zanna, G; de Urquijo, J; Dimitrijevic, MS; Domaracka, A; et al, The virtual atomic and molecular data centre (VAMDC) consortium, Journal of Physics B: Atomic, Molecular and Optical Physics, 2016, 49 (7)

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