Data citation

NARROWER TERMS
Report

Advancing data-intensive research in Australia

This report identifies opportunities to advance data-intensive research in Australia by aligning research policy, research infrastructure, skills and education, and recognising data science as a distinct scientific discipline.
Journal article

Do open access journal articles experience a citation advantage? Results and methodological reflections of an application of multiple measures to an analysis by WoS subject areas

This study is one of the first that uses the recently introduced open access (OA) labels in the Web of Science (WoS) metadata to investigate whether OA articles published in Directory of Open Access Journals (DOAJ) listed journals experience a citation advantage in comparison to...
Commentary

Sydney lockout laws review highlights vital role of transparent data analysis

The danger in not explaining, quantifying and reporting uncertainty is that the public loses trust in data-driven policymaking.
Journal article

Out of cite, out of mind: the current state of practice, policy, and technology for the citation of data

Published digital data, like the use of digitally published literature, depends upon the ability to identify, authenticate, locate, access, and interpret them. Data citations provide necessary support for these functions, as well as other functions such as attribution of credit and establishment of provenance. References...
Journal article

The anatomy of a data citation: discovery, reuse, and credit

This study examines author behaviour and sources of instruction in disciplinary and cultural norms for writing style and citation via a content analysis of journal articles, author instructions, style manuals, and data publishers. Instances of data citation are benchmarked against a Data Citation Adequacy Index.