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[working paper]

dc.contributor.authorNeuendorf, Claudiade
dc.contributor.authorJansen, Maltede
dc.contributor.authorPegelow, Lisade
dc.date.accessioned2021-10-14T06:56:31Z
dc.date.available2021-10-14T06:56:31Z
dc.date.issued2020de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/75212
dc.description.abstractIn the last decade, the call for sharing research data has intensified within the educational research community in Germany. This development has taken place within the professional communities and it has been spurred by research funding organizations mandating researchers to share their research data. However, researchers and data centers alike are aware that not all data might be fit for re-use. Therefore, research data should be evaluated with respect to their analytical potential for re-use. Yet, criteria and processes for identifying data with high re-use potential are lacking. Thus, a workshop on the topic "Re-use potential of research data" was held on June 19th, 2018, at the Institute for Educational Quality Improvement, which was organized within the German Network for Educational Research Data (Verbund Forschungsdaten Bildung, VerbundFDB). Participants were ten researchers from different disciplines of empirical educational research in Germany. Representatives from the educational sciences, psychology, economics and sociology were present. The aim of the workshop was to develop and discuss quality criteria for research data from the perspective of secondary users of research data.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherForschungsdatende
dc.titleAssessing the re-use potential of research data in empirical educational researchde
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.volume270de
dc.publisher.countryDEUde
dc.publisher.cityBerlinde
dc.source.seriesRatSWD Working Paper Series
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.subject.thesozdata exchangeen
dc.subject.thesozDatengewinnungde
dc.subject.thesozempirische Forschungde
dc.subject.thesozdata qualityen
dc.subject.thesozDatenaustauschde
dc.subject.thesozdata captureen
dc.subject.thesozempirical researchen
dc.subject.thesozeducational researchen
dc.subject.thesozBildungsforschungde
dc.subject.thesozDatenqualitätde
dc.rights.licenceCreative Commons - Attribution 4.0en
dc.rights.licenceCreative Commons - Namensnennung 4.0de
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10040547
internal.identifier.thesoz10037571
internal.identifier.thesoz10055811
internal.identifier.thesoz10042034
internal.identifier.thesoz10040527
internal.identifier.thesoz10038441
dc.type.stockmonographde
dc.type.documentArbeitspapierde
dc.type.documentworking paperen
dc.source.pageinfo12de
internal.identifier.classoz10105
internal.identifier.document3
dc.contributor.corporateeditorRat für Sozial- und Wirtschaftsdaten (RatSWD)
internal.identifier.corporateeditor604
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.17620/02671.49de
dc.description.pubstatusPublished Versionen
dc.description.pubstatusVeröffentlichungsversionde
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review2
internal.identifier.series876
internal.dda.referencehttps://www.econstor.eu/oai/request@@oai:econstor.eu:10419/219090
ssoar.urn.registrationfalsede


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