|Title:||DataCite as a novel bibliometric source: Coverage, strengths and limitations||Authors:||Robinson-Garcia, Nicolas
|Keywords:||Bibliometric sources | Data citations | Data infrastructure | Data metrics | Data sharing | DataCite | Open data; Computer Science - Digital Libraries; Computer Science - Digital Libraries||Issue Date:||Aug-2017||Publisher:||ELSEVIER SCIENCE BV||Journal Volume:||11||Journal Issue:||3||Start page/Pages:||841-854||Source:||Journal of Informetrics||Abstract:||
© 2017 Elsevier Ltd This paper explores the characteristics of DataCite to determine its possibilities and potential as a new bibliometric data source to analyze the scholarly production of open data. Open science and the increasing data sharing requirements from governments, funding bodies, institutions and scientific journals has led to a pressing demand for the development of data metrics. As a very first step towards reliable data metrics, we need to better comprehend the limitations and caveats of the information provided by sources of open data. In this paper, we critically examine records downloaded from the DataCite's OAI API and elaborate a series of recommendations regarding the use of this source for bibliometric analyses of open data. We highlight issues related to metadata incompleteness, lack of standardization, and ambiguous definitions of several fields. Despite these limitations, we emphasize DataCite's value and potential to become one of the main sources for data metrics development.
Paper accepted for publication in Journal of Informetrics
|Appears in Collections:||圖書資訊學系|
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