Year: 2002
Type: report
Abstract: This manual describes prototype software called Febrl designed to undertake probabilistic data cleaning (or standardisation) and record linkage. Written in the Python programming language, this software aims to allow health, biomedical and other researchers to clean (standardise) and link data sets of all sizes faster, with less effort and with improved quality. The authors would be grateful if users of Febrl would inform us (by e-mail) of how they have used the system. We are particularly interested in references to scientific papers or reports which mention or cite Febrl. Some suggested citations for Febrl will be provided in the next version of this manual.
Authors: Christen, Peter, Churches, Tim
Institution: Australian National University
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W1920916604