Building Longitudinal Datasets From Diverse Historical Data in Australia

Australia is rich in population datasets generated to manage convicts, civilians, stock, land and the colonised and displaced First Nations people. It has also preserved all service and pension data from both world wars. Through nominal linkage using volunteers and paid research staff, it has been...

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Main Author: Janet McCalman
Format: Article
Language:English
Published: International Institute of Social History 2021-08-01
Series:Historical Life Course Studies
Subjects:
Online Access:https://hlcs.nl/article/view/10939
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author Janet McCalman
author_facet Janet McCalman
author_sort Janet McCalman
collection DOAJ
description Australia is rich in population datasets generated to manage convicts, civilians, stock, land and the colonised and displaced First Nations people. It has also preserved all service and pension data from both world wars. Through nominal linkage using volunteers and paid research staff, it has been possible over the past twenty years to build four cradle-to-grave datasets derived from administrative cohorts: poor white babies born in a charity hospital 1858–1900; Aboriginal Victorians from 1855 to 1988; convicts transported to Van Diemen’s Land 1818-1853 and servicemen who embarked for World War I from the State of Victoria. The abundance of digitised historical sources from government archives to historical newspapers enables the practice of demographic prosopography, with a wide range of variables that have yielded new insights into Australia’s population and social history.
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series Historical Life Course Studies
spelling doaj-art-a85baddc016942a2bdd3b3779086326b2025-02-02T15:21:05ZengInternational Institute of Social HistoryHistorical Life Course Studies2352-63432021-08-011110.51964/hlcs1093910940Building Longitudinal Datasets From Diverse Historical Data in AustraliaJanet McCalman0University of Melbourne Australia is rich in population datasets generated to manage convicts, civilians, stock, land and the colonised and displaced First Nations people. It has also preserved all service and pension data from both world wars. Through nominal linkage using volunteers and paid research staff, it has been possible over the past twenty years to build four cradle-to-grave datasets derived from administrative cohorts: poor white babies born in a charity hospital 1858–1900; Aboriginal Victorians from 1855 to 1988; convicts transported to Van Diemen’s Land 1818-1853 and servicemen who embarked for World War I from the State of Victoria. The abundance of digitised historical sources from government archives to historical newspapers enables the practice of demographic prosopography, with a wide range of variables that have yielded new insights into Australia’s population and social history. https://hlcs.nl/article/view/10939ProsopographyLife courseInsultsEarly life effectsRaceClass
spellingShingle Janet McCalman
Building Longitudinal Datasets From Diverse Historical Data in Australia
Historical Life Course Studies
Prosopography
Life course
Insults
Early life effects
Race
Class
title Building Longitudinal Datasets From Diverse Historical Data in Australia
title_full Building Longitudinal Datasets From Diverse Historical Data in Australia
title_fullStr Building Longitudinal Datasets From Diverse Historical Data in Australia
title_full_unstemmed Building Longitudinal Datasets From Diverse Historical Data in Australia
title_short Building Longitudinal Datasets From Diverse Historical Data in Australia
title_sort building longitudinal datasets from diverse historical data in australia
topic Prosopography
Life course
Insults
Early life effects
Race
Class
url https://hlcs.nl/article/view/10939
work_keys_str_mv AT janetmccalman buildinglongitudinaldatasetsfromdiversehistoricaldatainaustralia