Implementing in the VAMDC the New Paradigms for Data Citation from the Research Data Alliance

Carlo Maria Zwölf; Nicolas Moreau; Yaye-Awa Ba; Marie-Lise Dubernet

doi:10.5334/dsj-2019-004

Implementing in the VAMDC the New Paradigms for Data Citation from the Research Data Alliance

Data Science Journal

Volume 18 (2019): Issue 1

By: Carlo Maria Zwölf , Nicolas Moreau, Yaye-Awa Ba and Marie-Lise Dubernet

Open Access

|Jan 2019

Abstract

VAMDC bridged the gap between atomic and molecular (A&M) producers and users by providing an interoperable e-infrastructure connecting A&M databases, as well as tools to extract and manipulate those data. The current paper highlights how the new paradigms for data citation produced by the Research Data Alliance in order to address the citation issues in the data-driven science landscape, have successfully been implemented on the VAMDC e-infrastructure.

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Articles in this issue

DOI: https://doi.org/10.5334/dsj-2019-004 | Journal eISSN: 1683-1470

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Language: English

Page range: 4 - 4

Submitted on: Jul 31, 2018

Accepted on: Dec 12, 2018

Published on: Jan 14, 2019

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

database,

data citation,

Research Data Alliance,

Scholix,

atomic data,

molecular data

© 2019 Carlo Maria Zwölf, Nicolas Moreau, Yaye-Awa Ba, Marie-Lise Dubernet, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 18 (2019): Issue 1