Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/161697
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Campo DC Valor Lengua/Idioma
dc.contributor.authorMongeon, Philippe-
dc.contributor.authorRobinson-García, Nicolás-
dc.contributor.authorJeng, Wei-
dc.contributor.authorCostas Comesaña, Rodrigo-
dc.date.accessioned2018-03-06T10:57:25Z-
dc.date.available2018-03-06T10:57:25Z-
dc.date.issued2017-
dc.identifierdoi: 10.1108/AJIM-01-2017-0024-
dc.identifierissn: 2050-3806-
dc.identifier.citationAslib Journal of Information Management 69(5): 545-556 (2017)-
dc.identifier.urihttp://hdl.handle.net/10261/161697-
dc.description.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.-
dc.publisherEmerald Group Publishing-
dc.rightsclosedAccess-
dc.subjectDataCite-
dc.subjectResearch evaluation-
dc.subjectBibliometrics-
dc.subjectData sharing-
dc.subjectWeb of Science-
dc.subjectReward system of science-
dc.titleIncorporating data sharing to the reward system of science: Linking DataCite records to authors in the Web of Science-
dc.typeartículo-
dc.identifier.doi10.1108/AJIM-01-2017-0024-
dc.date.updated2018-03-06T10:57:26Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066eng-
dc.relation.csic-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
Aparece en las colecciones: (INGENIO) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato
accesoRestringido.pdf15,38 kBAdobe PDFVista previa
Visualizar/Abrir
Show simple item record

CORE Recommender

SCOPUSTM   
Citations

17
checked on 25-mar-2024

WEB OF SCIENCETM
Citations

13
checked on 27-feb-2024

Page view(s)

334
checked on 28-mar-2024

Download(s)

150
checked on 28-mar-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.