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

doi:10.1145/1024694.1024703

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

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 (US)
Pages (from-to)	51-57
Number of pages	7
Journal	SIGMOD Record
Volume	33
Issue number	2
DOIs	https://doi.org/10.1145/1024694.1024703
State	Published - Jun 2004
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Information Systems

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10.1145/1024694.1024703

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title = "BIO-AJAX: An extensible framework for biological data cleaning",

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.",

author = "Herbert, {Katherine G.} and Gehani, {Narain H.} and Piel, {William H.} and Wang, {Jason T.L.} and Wu, {Cathy H.}",

year = "2004",

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T2 - An extensible framework for biological data cleaning

AU - Herbert, Katherine G.

AU - Gehani, Narain H.

AU - Piel, William H.

AU - Wang, Jason T.L.

AU - Wu, Cathy H.

PY - 2004/6

Y1 - 2004/6

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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JF - SIGMOD Record

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ER -

BIO-AJAX: An extensible framework for biological data cleaning

Abstract

All Science Journal Classification (ASJC) codes

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