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Incorporating data sharing to the reward system of science: Linking DataCite records to authors in the Web of Science

Philippe Mongeon (École de bibliothéconomie et des sciences de l’information (EBSI), Université de Montréal, Montréal, Canada)
Nicolas Robinson-Garcia (INGENIO (CSIC-UPV), Polytechnic University of Valencia, València, Spain)
Wei Jeng (Department of Library and Information Science, National Taiwan University, Taipei, Taiwan) (University of Pittsburgh, Pittsburgh, Pennsylvania, USA)
Rodrigo Costas (CWTS – Centre for Science and Technology Studies, Leiden University, Leiden, The Netherlands) (Centre for Research on Evaluation, Science and Technology (CREST), Stellenbosch University, Stellenbosch, South Africa)

Aslib Journal of Information Management

ISSN: 2050-3806

Article publication date: 18 September 2017

Abstract

Purpose

It is widely recognized that sharing data is beneficial not only for science but also for the common good, and researchers are increasingly expected to share their data. However, many researchers are still not making their data available, one of the reasons being that this activity is not adequately recognized in the current reward system of science. Since the attribution of data sets to individual researchers is necessary if we are to include them in research evaluation processes, the purpose of this paper is to explore the feasibility of linking data set records from DataCite to the authors of articles indexed in the Web of Science.

Design/methodology/approach

DataCite and WoS records are linked together based on the similarity between the names of the data sets’ creators and the articles’ authors, as well as the similarity between the noun phrases in the titles of the data sets and the titles and abstract of the articles.

Findings

The authors report that a large number of DataCite records can be attributed to specific authors in WoS, and the authors demonstrate that the prevalence of data sharing varies greatly depending on the research discipline.

Originality/value

It is yet unclear how data sharing can provide adequate recognition for individual researchers. Bibliometric indicators are commonly used for research evaluation, but to date no large-scale assessment of individual researchers’ data sharing activities has been carried out.

Keywords

Citation

Mongeon, P., Robinson-Garcia, N., Jeng, W. and Costas, R. (2017), "Incorporating data sharing to the reward system of science: Linking DataCite records to authors in the Web of Science", Aslib Journal of Information Management, Vol. 69 No. 5, pp. 545-556. https://doi.org/10.1108/AJIM-01-2017-0024

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited