Synthetic data generator for testing record linkage routines in Brazil.

Abstract

IntroductionRecord linkage has been increasingly used in Brazil. However, only a few studies report the quality of the linkage process. Synthetic test data can be used to evaluate the quality of data linkage.
 Objectives and ApproachTo develop a synthetic data generator that creates test datasets with similar attributes and error characteristics found in the Brazilian databases.
 We analyzed the 2013 mortality database from Rio de Janeiro State to know the characteristics and frequency distribution of the database attributes (name, mother’s name, sex, date of birth and address).
 We used Python and C++ to customize and add routines to GeCo (http://dlrep.org/dataset/GeCo), a personal data generation tool developed by Tran et al. (DOI:10.1145/2505515.2508207).
 ResultsBrazilian names have specific characteristics that distinguish them from other countries’ patterns: multiple family names are usual, as are composite first names, and, despite that, homonyms are frequent. Family names may include the full extension or only parts of either the father and mother’s respective family names, or both, so there is a wide variation in progeny family names and not necessarily a common family name for all family members.
 Conclusion/ImplicationsDue to the specific national characteristics of name building in Brazil, modeling synthetic data is particularly challenging and needs to have more flexible rules in order to generate databases that will actually allow assessing the quality of data linkage processes.

Record linkage under suboptimal conditions for data-intensive evaluation of primary care in Rio de Janeiro, Brazil

“…Homonyms are usual, despite the high frequency of double given names and multiple family names. Family names may include the full extension or only parts of either the father and mother’s family names, making it difficult to identify members of the same family [ 5 ].…”