Global-level data sets may be more highly cited than most journal articles.

Belter, Chris (2014) Global-level data sets may be more highly cited than most journal articles. Impact of Social Sciences Blog (15 May 2014). Website.

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Abstract

Scientists can be reluctant to share data because of the need to publish journal articles and receive recognition. But what if the data sets were actually a better way of getting credit for your work? Chris Belter measured the impact of a few openly accessible data sets and compared to journal articles in his field. His results provide hard evidence that the production, archival, and sharing of data may actually be a more effective way to contribute to the advancement of scientific knowledge.

Item Type:	Online resource (Website)
Official URL:	http://blogs.lse.ac.uk/impactofsocialsciences
Additional Information:	© 2014 The Author(s) CC BY 3.0
Divisions:	LSE
Subjects:	H Social Sciences > H Social Sciences (General)
Date Deposited:	28 Mar 2017 15:31
Last Modified:	11 Dec 2024 13:52
URI:	http://eprints.lse.ac.uk/id/eprint/71238

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