publication . Other literature type . 2015

Data Citation of Evolving Data: Recommendations of the Working Group on Data Citation (WGDC)

Rauber, Andreas; Asmi, Ari; van Uytvanck, Dieter; Proell, Stefan;
Open Access English
  • Published: 20 Oct 2015
Abstract
The WGDC recommendations enable researchers and data centers to identify and cite data used in experiments and studies. Instead of providing static data exports or textual descriptions of data subsets, we support a dynamic, query centric view of data sets. The proposed solution enables precise identification of the very subset and version of data used, supporting reproducibility of processes, sharing and reuse of data. The goal of the WG were to create identification mechanisms that (a) allow us to identify and cite arbitrary views of data, from a single record to an entire data set in a precise, machine-actionable manner; (b) allow us to cite and retrieve that ...
Subjects
free text keywords: data citation, dynamic data
Communities
Research Data Alliance
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Other literature type . 2015
Provider: ZENODO
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