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Linking Scottish vital event records using family groups

dc.contributor.authorAkgun, Ozgur
dc.contributor.authorDearle, Alan
dc.contributor.authorKirby, Graham
dc.contributor.authorGarrett, Eilidh
dc.contributor.authorDalton, Tom
dc.contributor.authorChristen, Peter
dc.contributor.authorDibben, Christopher
dc.contributor.authorWilliamson, Lee
dc.date.accessioned2023-07-20T00:33:01Z
dc.date.issued2020
dc.date.updated2022-05-22T08:15:50Z
dc.description.abstractThe reconstitution of populations through linkage of historical records is a powerful approach to generate longitudinal historical microdata resources of interest to researchers in various fields. Here we consider automated linking of the vital events recorded in the civil registers of birth, death and marriage compiled in Scotland, to bring together the various records associated with the demographic events in the life course of each individual in the population. From the histories, the genealogical structure of the population can then be built up. Rather than apply standard linkage techniques to link the individuals on the available certificates, we explore an alternative approach, inspired by the family reconstitution techniques adopted by historical demographers, in which the births of siblings are first linked to form family groups, after which intergenerational links between families can be established. We report a small-scale evaluation of this approach, using two district-level data sets from Scotland in the late nineteenth century, for which sibling links have already been created by demographers. We show that quality measures of up to 83% can be achieved on these data sets (using F-Measure, a combination of precision and recall). In the future, we intend to compare the results with a standard linkage approach and to investigate how these various methods may be used in a project which aims to link the entire Scottish population from 1856 to 1973.en_AU
dc.description.sponsorshipThis work was supported by ESRC Grants ES/K00574X/2 “Digitising Scotland” and ES/L007487/1 “Administrative Data Research Centre – Scotland.”en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0161-5440en_AU
dc.identifier.urihttp://hdl.handle.net/1885/294444
dc.language.isoen_AUen_AU
dc.publisherHeldref Publicationsen_AU
dc.rights© 2019 Taylor & Francis Group, LLCen_AU
dc.sourceHistorical Methodsen_AU
dc.subjectScottish vital event recordsen_AU
dc.subjectrecord linkageen_AU
dc.subjectlinkage methodsen_AU
dc.subjectgroup linkageen_AU
dc.subjectpopulation reconstructionen_AU
dc.subjectDigitising Scotlanden_AU
dc.titleLinking Scottish vital event records using family groupsen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue2en_AU
local.bibliographicCitation.lastpage146en_AU
local.bibliographicCitation.startpage130en_AU
local.contributor.affiliationAkgun, Ozgur, University of St Andrewsen_AU
local.contributor.affiliationDearle, Alan, University of St Andrewsen_AU
local.contributor.affiliationKirby, Graham, University of St Andrewsen_AU
local.contributor.affiliationGarrett, Eilidh, University of Essexen_AU
local.contributor.affiliationDalton, Tom, University of St Andrewsen_AU
local.contributor.affiliationChristen, Peter, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationDibben, Christopher, University of Edinburghen_AU
local.contributor.affiliationWilliamson, Lee, University of Edinburghen_AU
local.contributor.authoruidChristen, Peter, u4021539en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor460504 - Data qualityen_AU
local.identifier.absfor460502 - Data mining and knowledge discoveryen_AU
local.identifier.absfor460507 - Information extraction and fusionen_AU
local.identifier.ariespublicationa383154xPUB12007en_AU
local.identifier.citationvolume53en_AU
local.identifier.doi10.1080/01615440.2019.1571466en_AU
local.identifier.scopusID2-s2.0-85063548393
local.publisher.urlhttps://www.tandfonline.com/en_AU
local.type.statusPublished Versionen_AU

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