BIO-AJAX: An extensible framework for biological data cleaning

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

BIO-AJAX: An extensible framework for biological data cleaning

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

Computer Science

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

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.

Original language	English
Pages (from-to)	51-57
Number of pages	7
Journal	SIGMOD Record
Volume	33
Issue number	2
State	Published - 1 Jun 2004

Cite this

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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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AU - Herbert, Katherine G.

AU - Gehani, Narain H.

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AU - Wang, Jason T L

AU - Wu, Cathy H.

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N2 - 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.

AB - 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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BIO-AJAX: An extensible framework for biological data cleaning

Abstract

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