Abstract. Awareness of data and information quality issues has grown rapidly in light of the
critical role played by the quality of information in our data-intensive, knowledge-based
economy. Research in the past two decades has produced a large body of data quality knowledge
and has expanded our ability to solve many data and information quality problems. We present
an overview of the evolution and current landscape of data and information quality research. We
introduce an integrative framework to characterize the research along two dimensions: topics and
methods. Representative papers are cited for purposes of illustrating the issues addressed and the
methods used. We also identify and discuss challenges to be addressed in future research.