2.50
Hdl Handle:
http://hdl.handle.net/2436/617848
Title:
Reuse of scientific data in academic publications
Authors:
He, Lin; Nahar, Vinita ( 0000-0002-0519-5260 )
Abstract:
Purpose In recent years, a large number of data repositories have been built and used. However, the extent to which scientific data is reused in academic publications is still unknown. This article explores the functions of re-used scientific data in scholarly publication in different fields. Design/methodology/approach To address these questions, we identified 827 publications citing resources in the Dryad Digital Repository (DDR) indexed by Scopus from 2010 to 2015. Findings The results show that: (i) the number of citations to scientific data increases sharply over the years, but mainly from data-intensive disciplines, such as Agricultural, Biology Science, Environment Science and Medicine; (ii) the majority of citations are from the originating articles; (iii) researchers tend to reuse data produced by their own research groups. Research limitations/implications data may be re-used without being formally cited. Originality/value The conservatism in data sharing suggests that more should be done to encourage researchers to re-use other’s data.
Citation:
Reuse of scientific data in academic publications 2016, 68 (4):478 Aslib Journal of Information Management
Publisher:
Emerald Group Publishing Limited
Journal:
Aslib Journal of Information Management, 68.4 (2016): 478-494.
Issue Date:
18-Jul-2016
URI:
http://hdl.handle.net/2436/617848
DOI:
10.1108/AJIM-01-2016-0008
Additional Links:
http://www.emeraldinsight.com/doi/10.1108/AJIM-01-2016-0008
Type:
Article
Language:
en
ISSN:
2050-3806
Appears in Collections:
Computational Linguistics Group

Full metadata record

DC FieldValue Language
dc.contributor.authorHe, Linen
dc.contributor.authorNahar, Vinitaen
dc.date.accessioned2016-08-02T14:55:03Z-
dc.date.available2016-08-02T14:55:03Z-
dc.date.issued2016-07-18-
dc.identifier.citationReuse of scientific data in academic publications 2016, 68 (4):478 Aslib Journal of Information Managementen
dc.identifier.issn2050-3806en
dc.identifier.doi10.1108/AJIM-01-2016-0008-
dc.identifier.urihttp://hdl.handle.net/2436/617848-
dc.description.abstractPurpose In recent years, a large number of data repositories have been built and used. However, the extent to which scientific data is reused in academic publications is still unknown. This article explores the functions of re-used scientific data in scholarly publication in different fields. Design/methodology/approach To address these questions, we identified 827 publications citing resources in the Dryad Digital Repository (DDR) indexed by Scopus from 2010 to 2015. Findings The results show that: (i) the number of citations to scientific data increases sharply over the years, but mainly from data-intensive disciplines, such as Agricultural, Biology Science, Environment Science and Medicine; (ii) the majority of citations are from the originating articles; (iii) researchers tend to reuse data produced by their own research groups. Research limitations/implications data may be re-used without being formally cited. Originality/value The conservatism in data sharing suggests that more should be done to encourage researchers to re-use other’s data.en
dc.language.isoenen
dc.publisherEmerald Group Publishing Limiteden
dc.relation.urlhttp://www.emeraldinsight.com/doi/10.1108/AJIM-01-2016-0008en
dc.rightsArchived with thanks to Aslib Journal of Information Managementen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectResearch Dataen
dc.subjectData reuseen
dc.subjectData Repositoriesen
dc.subjectCitation Analysisen
dc.subjectAcademic Publicationsen
dc.subjectDryad Digital Repositoryen
dc.subjectScientific communicationen
dc.titleReuse of scientific data in academic publicationsen
dc.typeArticleen
dc.identifier.journalAslib Journal of Information Management, 68.4 (2016): 478-494.en
dc.date.accepted2016-05-04-
rioxxterms.funderGrant of Chinese National Social Science on Organization and Application of Scientific data in the knowledge service environment (No. 13CTQ035) and Evaluation research of scientific influence based on Altermetrics method (No.15BTQ061).en
rioxxterms.identifier.projectNo. 13CTQ035 and No.15BTQ061en
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/CC BY-NC-ND 4.0en
rioxxterms.licenseref.startdate2016-08-02en
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