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[journal article]

dc.contributor.authorSchwalbach, Jande
dc.contributor.authorMauer, Reinerde
dc.date.accessioned2025-04-02T09:00:12Z
dc.date.available2025-04-02T09:00:12Z
dc.date.issued2025de
dc.identifier.issn2053-9517de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/101219
dc.description.abstractOver the past decade, research has made rapid progress in the collection and analysis of digital trace data. However, when it comes to sharing data, researchers still face major barriers that often limit or prevent the reproducibility of research results and the reuse of data. Against this backdrop, we identify three broader categories of user challenges, namely researchers' capacities & incentives, legal & ethical challenges, and technical hurdles. We describe in detail the problems researchers face in each category and why these often prevent researchers from sharing data, thus limiting both the reproducibility of research outputs and data reuse in other research projects. We conclude each category with specific needs of researchers for sharing digital trace data and making it reusable for others. These are intended to provide researchers as well as research institutes and repositories with approaches to improve the situation of data sharing.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherdigital trace data; data archives; open science; reproducibility; research data managementde
dc.titleSharing digital trace data: Researchers' challenges and needsde
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.identifier.urllocalfile:/var/local/dda-files/prod/crawlerfiles/7854614cede34496abbd30e0b3618265/7854614cede34496abbd30e0b3618265.pdfde
dc.source.journalBig Data & Society
dc.source.volume12de
dc.publisher.countryUSAde
dc.source.issue1de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenzugangde
dc.subject.thesozdata accessen
dc.subject.thesozDatenaustauschde
dc.subject.thesozdata exchangeen
dc.subject.thesozDatenschutzde
dc.subject.thesozdata protectionen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040547
internal.identifier.thesoz10084126
internal.identifier.thesoz10040527
internal.identifier.thesoz10040560
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
internal.identifier.classoz10105
internal.identifier.journal1669
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.1177/20539517251325211de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review2
ssoar.wgl.collectiontruede
internal.dda.referencecrawler-deepgreen-1153@@7854614cede34496abbd30e0b3618265
ssoar.urn.registrationfalsede


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