In this paper we present a new paradigm for the identification of datasets extracted from the Virtual Atomic and Molecular Data Centre (VAMDC) e-science infrastructure. Such identification includes information on the origin and version of the datasets, references associated to individual data in the datasets, as well as timestamps linked to the extraction procedure. This paradigm is described through the modifications of the language used to exchange data within the VAMDC and through the services that will implement those modifications. This new paradigm should enforce traceability of datasets, favour reproducibility of datasets extraction, and facilitate the systematic citation of the authors having originally measured and/or calculated the extracted atomic and molecular data.
@article{arxiv.1606.00405,
title = {New model for datasets citation and extraction reproducibility in VAMDC},
author = {Carlo Maria Zwölf and Nicolas Moreau and Marie-Lise Dubernet},
journal= {arXiv preprint arXiv:1606.00405},
year = {2016}
}