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Extracting Family Connections from Administrative Data

Stacy Ann Vasquez, Miro Palfy, Alexandre Franco Garcia · International Journal of Population Data Science · 2018

IntroductionRecord linkage has existed for decades, regarded as an activity where an entity is ascertained across different data sources. Initially medically driven to determine further outcomes. Developments in technology led to cheaper computing and storage, which ushered capture of information beyond the primary entities such as carer’s details.
 Objectives and ApproachAdministrative datasets that capture an event involving a child would more often than not, capture information about their parents or carers including relationship to the primary entity within the record.
 The main objective was to exploit the connections across the entities captured in a record and have that as an additional layer of information that may contribute to context. All entities extracted from one record were clearly defined as related. Information was considered true at the point of capture. Then record linkage for all the individual entities extracted were performed.
 ResultsFamily structures evolve and a family structure during birth may change by the time the child attends school where carer information was recorded during enrolment.
 Each data source inevitably becomes a “sourc

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