Promise and pitfalls in the application of big data to occupational and environmental health

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dc.contributor.authorStieb, David M.
dc.contributor.authorBoot, Cécile R.
dc.contributor.authorTurner, Michelle C.
dc.date.accessioned2017-06-12T10:38:26Z
dc.date.available2017-06-12T10:38:26Z
dc.date.issued2017-05-09
dc.date.updated2017-05-31T18:00:37Z
dc.descriptionEditorial
dc.description.abstractIs “big data” merely a catchphrase, or does the approach hold real promise in informing occupational and environmental health? Can challenges related to messy and unrepresentative data and spurious findings be overcome?
dc.format.extent4 p.
dc.format.mimetypeapplication/pdf
dc.identifier.issn1471-2458
dc.identifier.pmid28482822
dc.identifier.urihttps://hdl.handle.net/2445/112226
dc.language.isoeng
dc.publisherBioMed Central
dc.relation.isformatofReproducció del document publicat a: http://dx.doi.org/10.1186/s12889-017-4286-8
dc.relation.ispartofBMC Public Health, 2017, vol. 17, num. 1, p. 372
dc.relation.urihttp://dx.doi.org/10.1186/s12889-017-4286-8
dc.rightscc by (c) Stieb et al., 2017
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceArticles publicats en revistes (ISGlobal)
dc.subject.classificationDades massives
dc.subject.classificationHigiene ambiental
dc.subject.otherBig data
dc.subject.otherEnvironmental health
dc.titlePromise and pitfalls in the application of big data to occupational and environmental health
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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