RDA Recommendations Data Citation and Scholix Adopted By The Virtual Atomic and Molecular Data Centre (VAMDC)
- RDA Recommendations Data Citation and Scholix Adopted By The Virtual Atomic and Molecular Data Centre (VAMDC)
The Virtual Atomic and Molecular Data Centre (VAMDC) implemented on the one hand, the RDA recommendations for Data Citation to identify and cite dynamic data. On the other hand the Scholix output to link datasets from from the VAMDC.
Citation is a key element in the production of new knowledge, since it enhances trust, makes the process described into the cited work reproducible and gives credits to the author of the cited intellectual product. According to the FAIR principles, most of the data should be re-used in derived works: the role of Citation is crucial in open-data-driven science. The RDA has successfully defined new models for citation in the digital era. Several communities already adopted these RDA outputs and shown the implementation way: it is now easy for “newcomers” to adopt those useful recommendations by capitalizing on the community experience. Dr. Carlo Maria Zwölf, Nicolas Moreau and Yaye-Awa Ba from PSL Research University, CNRS and the Sorbonne University.
VAMDC succeeded in implementing the new RDA-data citation paradigms (Data Citation and Scholix) on the VAMDC distributed infrastructure. This removed the technical barriers preventing automatic data citation and delegation of bibliographic credits for VAMDC extracted data. However, the success of a technical solution does not only depend on its intrinsic qualities, but also on its level of adoption and acceptance by the wider community of final users: we are actually focusing on increasing the impact of the aforementioned citation service through community awareness-raising and training around these new tools.
Read VAMDC’s practical experience on adopting these outputs here.
Browse through the RDA outputs here
Read the CODATA article Implementing in the VAMDC the New Paradigms for Data Citation from the Research Data Alliance