Openjournals.nl / Historical Life Course Studies / Special Issue 3 / Article

Reflections on the Use of the Intermediate Data Structure (IDS) in Historical Demographic Research

Luciana Quaranta |

Abstract

The Intermediate Data Structure (IDS) was developed as a strategy aimed at standardizing the dissemination of micro-level historical demographic data. The structure provides a common and clear data strategy which facilitates studies that consider several databases, and the development and exchange of software. Based on my own experiences from working with the IDS, in this article I provide reflections on the use of IDS to create datasets for analysis and to conduct comparative demographic research.

Authors
Luciana Quaranta
Published 2021-03-31
Issue Vol. 10 (2021): Special Issue 3
Section Articles
Download
How to cite
Quaranta, Luciana. 2021. “Reflections on the Use of the Intermediate Data Structure (IDS) in Historical Demographic Research”. Historical Life Course Studies 10 (March):76-80. https://doi.org/10.51964/hlcs9571.
Download Citation
Endnote/Zotero/Mendeley (RIS) BibTeX
Keywords Intermediate Data Structure, Historical demography, Comparative research, Longitudinal data
License

Copyright (c) 2021

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This journal is powered by  
Openjournals.nl