Coverage of OpenStreetMap data at firm level : Assessing the suitability for social science representative firm samples and found

bibb.id784663
bibb.participationBIBB-Mitarbeiterde
dc.contributor.authorGerhards, Christian [Verfasser]de
dc.date.accessioned2026-04-07T11:09:52Z
dc.date.available2026-04-07T11:09:52Z
dc.date.issued2025
dc.description.abstract"Establishment surveys are essential for gaining well-founded insights into company structures and developments, whereby representativeness ensures that the results can be reliably transferred to the population and enable bias-free conclusions. Company surveys in Germany are often based on the company file of the Federal Employment Agency (BA), which, however, only allows limited links to other data sources. The free online service OpenStreetMap (OSM) could serve as an alternative, publicly accessible data source. This article analyses the extent to which OSM is suitable for drawing a representative sample of companies. It is hypothesised that OSM covers a large proportion of businesses, especially in metropolitan areas, and that customer-oriented sectors are better covered than industrial or B2B businesses. To verify this, establishments are identified in OSM and compared with the BA establishment file, differentiated by region and sector. The results show a high but not complete coverage with regional differences in favour of metropolitan areas. There are limitations in terms of data quality and contactability of the establishments." (Author's abstract, BIBB-Doku)de
dc.description.statementofresponsibilityChristian Gerhardsde
dc.description.versionreferiertde
dc.format.extentSeite 653-658de
dc.format.illustrationIllustrationende
dc.format.illustrationDiagrammede
dc.format.mediumElektronische Ressourcede
dc.format.mediumSammelbandbeitragde
dc.identifier.uriDOI:10.15439/2025F6262
dc.identifier.urihttps://bibb-dspace.bibb.de/jspui/handle/BIBB/784663
dc.language.isoende
dc.rdacarrier.codecrde
dc.rdacarrier.sourcerdacontentde
dc.rdacarrier.termOnline-Ressourcede
dc.rdacontent.codetxtde
dc.rdacontent.sourcerdacontentde
dc.rdacontent.termTextde
dc.rdamedia.codecde
dc.rdamedia.sourcerdacontentde
dc.rdamedia.termComputermediende
dc.relation.ispartofAnnals of Computer Science and Information Systems, (2025), Vol. 43: Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS), September 14–17, 2025. Kraków, Poland / Marek Bolanowski [Hrsg.] ; Maria Ganzha [Hrsg.] ; Leszek Maciaszek [Hrsg.] ; Marcin Paprzycki [Hrsg.] ; Dominik Ślęzak [Hrsg.]
dc.rights.licenseDeutsches Urheberrechtde
dc.source.urihttps://annals-csis.org/Volume_43/drp/pdf/6262.pdf (Volltext)de
dc.subject.classificationT 3 Forschungsmethodende
dc.subject.classificationG 1.2.4 Wirtschaftszweige
dc.subject.classificationI 2.1.4 Ballungsgebiete
dc.subject.ddc370de
dc.subject.otherDatenanalysede
dc.subject.otherStichprobenverfahren
dc.subject.otherBetriebsbefragung
dc.subject.otherWirtschaftszweig
dc.subject.otherBallungsraum
dc.titleCoverage of OpenStreetMap data at firm level : Assessing the suitability for social science representative firm samples and foundde

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