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The Intermediate Data Structure (IDS) for Longitudinal Historical Microdata, version 4

Dados Bibliográficos

ID21244667
AutoresGeorge Alter (0000-0003-3823-4972, University of Michigan), Kees Mandemakers (Erasmus University Rotterdam)
Ano2014
Volume1
Páginas1-26
Data de publicação2014-05-26
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoHistorical Life Course Studies (JOURNAL)
Identificadores do periódicoISSN: 2352-6343 • E-ISSN: 2352-6343
EditoraInternational Institute of Social History (PUBLISHER • NL)
DOI10.51964/hlcs9290
PMID30505919
OpenAlexW89149571
IdiomaEN
Citações recebidas28
Referências citadas8

The Intermediate Data Structure (IDS) is a standard data format that has been adopted by several large longitudinal databases on historical populations. Since the publication of the first version in Historical Social Research in 2009, two improved and extended versions have been published in the Collaboratory Historical Life Courses. In this publication we present version 4 which is the latest ‘official’ standard of the IDS. Discussions with users over the last four years resulted in important changes, like the inclusion of a new table defining the hierarchical relationships among ‘contexts’, decision schemes for recording relationships, additional fields in the metadata table, rules for handling stillbirths, a reciprocal model for relationships, guidance for linking IDS data with geospatial information, and the introduction of an extended IDS for computed variables

Cartography · Census · Collaboratory · Data mining · Data science · Geography · Geospatial analysis · Information retrieval · Metadata · Population · Reciprocal · World Wide Web · Computer Science · Data Analysis and Archiving · demographic modeling and climate adaptation · Geographic Information Systems Studies

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Obras citantes distintas28
Citações por ano2,33
Intervalo de citações2014 - 2025 (12)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 18
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