Biological data cleaning: A case study

Katherine G. Herbert, Jason T.L. Wang

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)60-82
Number of pages23
JournalInternational Journal of Information Quality
Issue number1
StatePublished - 2007
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications


  • Bioinformatics
  • Biological data quality
  • Data cleaning
  • Data quality
  • Information quality
  • Phylogenetic data


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