Artigo em revista científica
The 2020 IDS release of the Antwerp COR*-database. Evaluation, development and transformation of a pre-existing database
Sam Jenkinson (Jenkinson, S.); Francisco Anguita Rodríguez (Anguita, F.); Diogo Paiva (Paiva, D.); Hideko Matsuo (Matsuo, H.); Koen Matthijs (Matthijs, K.);
Título Revista
Historical Life Course Studies
Países Baixos (Holanda)
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The Antwerp COR*-IDS database 2020 is a transformed and harmonized historical demographic database in a cross-nationally comparable format designed to be open and easy to use for international researchers. The database is constructed from the 2010 release of the Antwerp COR*-historical demographic database, which was created using a letter sample of the whole district of Antwerp (Flanders, Belgium). It has a total sample size of +/- 33,000 residents of Antwerp. The sample spans nearly seven decades. The data is collected from historical records: including population registers and vital registration records covering births, marriages, in/external migrations and deaths. The database covers up to three linked generations (in some cases more), and contains micro-data on individual level life courses, and relationships deriving from addressbased household composition methods. An important characteristic is the sample's large migrant population, including the timings of their demographic events and living arrangements, whilst resident in the district of Antwerp. In addition, the sample also contains a large array of occupational level information. This paper presents the processes, methodologies and documentation regarding the evaluation and development of a pre-existing historical database. This includes the systematic evaluation of the original samples, methodologies for address based reconstructing of households, and the geocoding of a historical database which took place during the current development of this new version of the database.
This research has been presented at the European Historical Demographic Conference (ESHD) in Pécs, 26–29 June 2019. The research is funded by LONGPOP Methodologies and data mining techniques for the analysis of Big Data based on Longitudinal Population...
Historical demography,Historical database management,Intermediate data structure
Registos de financiamentos
Referência de financiamento Entidade Financiadora
No. 676060 Comissão Europeia
UIDB/03126/2020 Fundação para a Ciência e a Tecnologia
GOA/14/001 Comissão Europeia