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[journal article]

dc.contributor.authorStier, Sebastiande
dc.contributor.authorBreuer, Johannesde
dc.contributor.authorSiegers, Pascalde
dc.contributor.authorThorson, Kjerstinde
dc.date.accessioned2023-03-02T10:18:03Z
dc.date.available2023-03-02T10:18:03Z
dc.date.issued2020de
dc.identifier.issn1552-8286de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/85332
dc.description.abstractWhile survey research has been at the heart of social science for decades and social scientific research with digital trace data has been growing rapidly in the last few years, until now, there are relatively few studies that combine these two data types. This may be surprising given the potential of linking surveys and digital trace data, but at the same time, it is important to note that the collection and analysis of such linked data are challenging in several regards. The three key issues are: (1) data linking including informed consent for individual-level studies, (2) methodological and ethical issues impeding the scientific (re)analysis of linked survey and digital trace data sets, and (3) developing conceptual and theoretical frameworks tailored toward the multidimensionality of such data. This special issue addresses these challenges by presenting cutting-edge methodological work on how to best collect and analyze linked data as well as studies that have successfully combined survey data and digital trace data to find innovative answers to relevant social scientific questions.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherdata linking; data sharing; digital trace data; informed consent; linkage bias; sensors; surveysde
dc.titleIntegrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Fieldde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.identifier.urllocalfile:/var/tmp/crawlerFiles/deepGreen/1db13df562d0432aa697e6ed943a3166/1db13df562d0432aa697e6ed943a3166.pdfde
dc.source.journalSocial Science Computer Review
dc.source.volume38de
dc.publisher.countryUSAde
dc.source.issue5de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozUmfrageforschungde
dc.subject.thesozsurvey researchen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDigitale Mediende
dc.subject.thesozdigital mediaen
dc.subject.thesozSoziale Mediende
dc.subject.thesozsocial mediaen
dc.subject.thesozDatenschutzde
dc.subject.thesozdata protectionen
dc.identifier.urnurn:nbn:de:0168-ssoar-85332-7
dc.rights.licenceDeposit Licence - Keine Weiterverbreitung, keine Bearbeitungde
dc.rights.licenceDeposit Licence - No Redistribution, No Modificationsen
ssoar.contributor.institutionGESIS
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040714
internal.identifier.thesoz10040547
internal.identifier.thesoz10083753
internal.identifier.thesoz10094228
internal.identifier.thesoz10040560
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo503-516de
internal.identifier.classoz10105
internal.identifier.journal645
internal.identifier.document32
internal.identifier.ddc300
dc.source.issuetopicIntegrating Survey Data and Digital Trace Datade
dc.identifier.doihttps://doi.org/10.1177/0894439319843669de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence3
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.wgl.collectiontrue
internal.dda.referencecrawler-deepgreen-188@@1db13df562d0432aa697e6ed943a3166


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