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Generating a Pseudo Resident Registration Register by Using Open Data

Authors:
Dominik Visca
Max Hoppe
Pascal Neis

Keywords: Resident registration register; disaggregation; census data; open data; register-based research

Abstract:
The paper offers a possibility for a (partial) reconstruction of a resident registration dataset combining and linking open (geo-) data with respect to data protection regulations. Here, a method is proposed that simulates a building-level georeferenced resident registration register as a pseudo-derivative. Understood as a potential supplement for research projects, the increasing relevance and discussion of datasets for analyzing individual dynamics on a small scale is taken up with easy-to-generate datasets without facing data protection issues. Complete reconstruction and disaggregation are not possible due to anonymization techniques and data available, but further improvements are conceivable with the latest census and additional open data. This procedure thus reflects trends of Urban-Geo to expand and better visualize small-scale demographic analyses, and also highlights the potential value of opening up register data to science.

Pages: 53 to 57

Copyright: Copyright (c) IARIA, 2022

Publication date: June 26, 2022

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-983-6

Location: Porto, Portugal

Dates: from June 26, 2022 to June 30, 2022