A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Creating a Historical Migration Dataset from Finnish Church Records, 1800–1920
Tekijät: Vesalainen, Ari; Kanerva, Jenna; Nitsch, Aïda; Korsu, Kiia; Larkiola, Ilari; Ruotsalainen, Laura; Ginter, Filip
Kustantaja: Ubiquity Press, Ltd.
Julkaisuvuosi: 2025
Lehti: Journal of Open Humanities Data
Artikkelin numero: 48
Vuosikerta: 11
eISSN: 2059-481X
DOI: https://doi.org/10.5334/johd.345
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Kokonaan avoin julkaisukanava
Verkko-osoite: https://doi.org/10.5334/johd.345
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/500285856
This article presents a large-scale effort to create a structured dataset of internal migration in Finland between 1800 and 1920 using digitized church moving records. These records, maintained by Evangelical-Lutheran parishes, document the migration of individuals and families and offer a valuable source for studying historical demographic patterns. The dataset includes over six million entries extracted from approximately 200,000 images of handwritten migration records. The data extraction process was automated using a deep learning pipeline that included layout analysis, table detection, cell classification, and handwriting recognition. The complete pipeline was applied to all images, resulting in a structured dataset suitable for research. The dataset can be used to study internal migration, urbanization, and family migration, and the spread of disease in preindustrial Finland. A case study from the Elimaki parish shows how local migration histories can be reconstructed. The work demonstrates how large volumes of handwritten archival material can be transformed into structured data to support historical and demographic research.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
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This work was supported by the Human Diversity consortium, Profi7 program by Research Council of Finland (grant 352727) as well as the HPC-HD Research Council of Finland general research grant (grant 347708).
