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Defining and distributing longitudinal historical data in a general way through an intermediate structure
Konzept einer intermediären Datenstruktur (IDS) zur Integration national unterschiedlicher Datenbanken
[journal article]
Abstract 'Der Beitrag diskutiert am Beispiel von demographischen Mikrodaten methodologische Probleme von Längsschnittdaten. Die Herausforderungen bestehen darin, 1. Lebensverläufe in kartesische Datenformate zu transformieren, die mit den Erfordernissen gängiger statistischer Analysesysteme kompatibel sind, ... view more
'Der Beitrag diskutiert am Beispiel von demographischen Mikrodaten methodologische Probleme von Längsschnittdaten. Die Herausforderungen bestehen darin, 1. Lebensverläufe in kartesische Datenformate zu transformieren, die mit den Erfordernissen gängiger statistischer Analysesysteme kompatibel sind, und 2. Datensätze für interlokale und interkulturelle Studien vergleichbar zu machen. Um dieses Ziel zu erreichen wird eine intermediäre Datenstruktur (IDS) vorgeschlagen, die auf alle Datenbanken übertragen kann. Die Autoren erläutern den Vorteil des IDS-Ansatzes und die Maßnahmen, die zur Umsetzung des Konzeptes führen werden.' (Autorenreferat)... view less
'In recent years, studies of historical populations have shifted from tracing large-scale processes to analyzing longitudinal micro data in the form of 'life histories'. This approach expands the scope of social history by integrating data on a range of life course events. The complexity of life-cou... view more
'In recent years, studies of historical populations have shifted from tracing large-scale processes to analyzing longitudinal micro data in the form of 'life histories'. This approach expands the scope of social history by integrating data on a range of life course events. The complexity of life-course analysis, however, has limited most researchers to working with one specific database. The authors discuss methodological problems raised by longitudinal historical data and the challenge of converting life histories into rectangular datasets compatible with statistical analysis systems. The logical next step is comparing life courses across local and national databases, and they propose a strategy for sharing historical longitudinal data based on an intermediate data structure (IDS) that can be adopted by all databases. They describe the benefits of the IDS approach and activities that will advance the goals of simplifying and promoting research with longitudinal historical data.' (author's abstract)... view less
Keywords
micro level; longitudinal study; life career; data bank; process-produced data; data; historical social research; management; conception; data interconnection; comparative research
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Research Design
Information and Documentation, Libraries, Archives
Method
historical; basic research
Document language
English
Publication Year
2009
Page/Pages
p. 78-114
Journal
Historical Social Research, 34 (2009) 3
DOI
https://doi.org/10.12759/hsr.34.2009.3.78-114
ISSN
0172-6404
Status
Published Version; peer reviewed