“Data wrangling” has become a critical skill for data scientists everywhere, a skill that is very much in demand in every industry, scientific endeavor and numerous other fields of application. With the availability of large and complex data, and the focus on managing the world through the power of data generated by the Internet of Things, the focus has shifted from storing, managing and retrieving data to assessing the quality of data and information. This special session aims to bring together researchers and practitioners of data and stream analytics that are interested in the theory, methodology, applications, case studies and practical solutions related to data and information quality.