BIO-AJAX

Katherine G. Herbert · Narain H. Gehani · William H. Piel · Jason T. L. Wang · Cathy H. Wu

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Data Quality and Management Genomics and Phylogenetic Studies Research Data Management Practices

Abstract

As databases become more pervasive through the biological sciences, various data quality issues regarding data legacy, data uniformity and data duplication arise. Due to the nature of this data, each of these problems is non-trivial. For biological data to be corrected and standardized, new methods and frameworks must be developed. This paper proposes one such framework, called BIO-AJAX, which uses principles from data cleaning to improve data quality in biological information systems, specifically in TreeBASE.

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2003Exploratory Data Mining and Data Cleaning 2001Declarative Data Cleaning: Language, Model, and Algorithms 2001A knowledge-based approach for duplicate elimination in data cleaning 2003A Model-Based Mediator System for Scientific Data Management

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2007Biological data cleaning: a case study

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