December 3, 2020

New Research Paper: Analyzing Data Citation Practices According to the Data Citation Index (Preprint)

The following research paper has been accepted for publication in the Journal of the Association for Information Science and Technology (JASIST).

Title

Analyzing Data Citation Practices According To The Data Citation Index

Authors

Nicolas Robinson-Garcia
Universidad de Granada, Spain

Evaristo Jiménez-Contreras
Universidad de Granada, Spain

Daniel Torres-Salinas
Universidad de Navarra, Spain

Source

via arXiv

Abstract

We present an analysis on data citation practices based on the Data Citation Index from Thomson Reuters. This database launched in 2012 aims to link data sets and data studies with citations received from the rest of their citation indexes. Funding bodies and research organizations are increasingly demanding the need of researchers to make their scientific data available in a reusable and reproducible manner, aiming to maximize the allocation of funding while providing transparency on the scientific process. The DCI harvests citations to research data from papers indexed in the Web of Science. It relies on the information provided by the data repository as data citation practices are inconsistent or inexistent in many cases. The findings of this study show that data citation practices are far from common in most research fields. Some differences have been reported on the way researchers cite data: while in the areas of Science and Engineering and Technology data sets were the most cited, in Social Sciences and Arts and Humanities data studies play a greater role. 88.1 percent of the records have received no citations, but some repositories show very low uncitedness rates. While data citation practices are rare in most fields, they have expanded in disciplines such as Crystallography or Genomics. We conclude by emphasizing the role that the DCI could play in encouraging the consistent, standardized citation of research data – a role that would enhance its value as a means of following the research process from data collection to publication.

Direct to Full Text Preprint (20 pages; PDF)

 

About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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