Show simple item record

dc.contributor.authorColavizza, Giovannien
dc.contributor.authorHrynaszkiewicz, Iainen
dc.contributor.authorStaden, Islaen
dc.contributor.authorWhitaker, Kirstieen
dc.contributor.authorMcGillivray, Barbaraen
dc.date.accessioned2020-03-06T00:30:53Z
dc.date.available2020-03-06T00:30:53Z
dc.date.issued2020-01en
dc.identifier.issn1932-6203
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/303091
dc.description.abstractEfforts to make research results open and reproducible are increasingly reflected by journal policies encouraging or mandating authors to provide data availability statements. As a consequence of this, there has been a strong uptake of data availability statements in recent literature. Nevertheless, it is still unclear what proportion of these statements actually contain well-formed links to data, for example via a URL or permanent identifier, and if there is an added value in providing such links. We consider $531,889$ journal articles published by PLOS and BMC, develop an automatic system for labelling their data availability statements according to four categories based on their content and the type of data availability they display, and finally analyze the citation advantage of different statement categories via regression. We find that, following mandated publisher policies, data availability statements have become common by now, yet statements containing a link to a repository are still just a fraction of the total. We also find that articles with these statements, in particular, can have up to 25.36\% higher citation impact on average: an encouraging result for all publishers and authors who make the effort of sharing their data. All our data and code are made available in order to reproduce and extend our results.
dc.format.mediumElectronic-eCollectionen
dc.languageengen
dc.publisherPublic Library of Science (PLoS)
dc.rightsAttribution 4.0 International (CC BY)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHumansen
dc.subjectResearchen
dc.subjectPublicationsen
dc.subjectInformation Servicesen
dc.subjectJournal Impact Factoren
dc.subjectKnowledge Discoveryen
dc.titleThe citation advantage of linking publications to research data.en
dc.typeArticle
prism.issueIdentifier4en
prism.publicationDate2020en
prism.publicationNamePloS oneen
prism.startingPagee0230416
prism.volume15en
dc.identifier.doi10.17863/CAM.50167
dcterms.dateAccepted2020-02-28en
rioxxterms.versionofrecord10.1371/journal.pone.0230416en
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-01en
dc.contributor.orcidColavizza, Giovanni [0000-0002-9806-084X]
dc.contributor.orcidHrynaszkiewicz, Iain [0000-0002-9673-5559]
dc.contributor.orcidWhitaker, Kirstie [0000-0001-8498-4059]
dc.contributor.orcidMcGillivray, Barbara [0000-0003-3426-8200]
dc.identifier.eissn1932-6203
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idAlan Turing Institute (EP/N510129/1)
cam.orpheus.successWed May 13 08:58:29 BST 2020 - The item has an open VoR version.*
cam.orpheus.counter3*
rioxxterms.freetoread.startdate2100-01-01


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International (CC BY)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY)