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.
DOI
10.1504/IJIQ.2007.013376
Montclair State University Digital Commons Citation
Herbert, Katherine and Wang, Jason T.L., "Biological Data Cleaning: A Case Study" (2007). Department of Computer Science Faculty Scholarship and Creative Works. 146.
https://digitalcommons.montclair.edu/compusci-facpubs/146