Biological data cleaning: A case study

Document Type

Article

Publication Date

1-1-2007

Abstract

As databases become more pervasive through the biological sciences, various data quality concerns are emerging. Biological databases tend to develop data quality issues regarding data legacy, data uniformity and data duplication. Due to the nature of this data, each of these problems is non-trivial and can cause many problems for the database. For biological data to be corrected and standardised, methods and frameworks must be developed to handle both structural and traditional data. This paper discusses issues concerning biological data quality with respect to data cleaning. It presents BIO-AJAX, a framework developed to address these issues. It finally describes BIO-JAX for TreeBASE and BIO-AJAX for Lineage Path, two implementations of BIO-AJAX on phylogenetic data sets. Copyright © 2007 Inderscience Enterprises Ltd.

Identifier

51049122536 (Scopus)

Publication Title

International Journal of Information Quality

External Full Text Location

https://doi.org/10.1504/IJIQ.2007.013376

e-ISSN

17510465

ISSN

17510457

First Page

60

Last Page

82

Issue

1

Volume

1

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