  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.
