dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniv Cauca
dc.date.accessioned2018-11-26T15:43:49Z
dc.date.available2018-11-26T15:43:49Z
dc.date.created2018-11-26T15:43:49Z
dc.date.issued2017-01-01
dc.identifierRevista Espanola De Documentacion Cientifica. Madrid: Consejo Superior Investigaciones Cientificas-csic, v. 40, n. 1, 12 p., 2017.
dc.identifier0210-0614
dc.identifierhttp://hdl.handle.net/11449/159448
dc.identifier10.3989/redc.2017.1.1375
dc.identifierWOS:000397016600008
dc.description.abstractThis paper presents a review of the main motivations and paths for publishing datasets that are generated and managed during the research process. The Data Paper is considered as a form of scientific publication with the same recognition, acceptance and scientific rigor as conventional research articles. Therefore we propose a common structure defined by elements based mainly on dataset metadata. This will enable creators, publishers, consumers and expert peer reviewers to recognise, share, evaluate and facilitate data reuse. Doing so will facilitate information reproducibility, validation of results, and rapid new research generation.
dc.languagespa
dc.publisherConsejo Superior Investigaciones Cientificas-csic
dc.relationRevista Espanola De Documentacion Cientifica
dc.relation0,438
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectData paper
dc.subjectpublished data
dc.subjectresearch data
dc.subjectdata sharing
dc.titleProposed structure of a data paper structure as scientific publication
dc.typeArtículos de revistas


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