Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...

Despite the increasing importance of data and information quality, current research related to Big Data quality is still limited. It is particularly unknown how to apply previous data quality models to Big Data. In this paper we review Big Data quality research from several perspectives and apply a known quality model with its elements of conformance to specification and design in the context o...

Currently, information has become an increasingly important production factor which has led to the emergence of data marketplaces that leverage big data technologies. However, value attribution of data is still difficult. This work suggests to discuss what role data quality can play in this context, particularly: what quality measures are relevant in the context of big data, how they can be mea...

This article investigates the evolution of data quality issues from traditional structured data managed in relational databases to Big Data. In particular, The paper examines the nature of the relationship between Data Quality and several research coordinates that are relevant in Big Data, such as the variety of data types, data sources and application domains, focusing on maps, semistructured ...

This talk addresses opportunities for the application of intelligent data analysis techniques at various stages of the value added chain for financial services. After introducing some basic notions and explaining the fundamental steps of data mining, we will have a closer look at various recent and ongoing projects and discuss issues of practical relevance such as data quality and expert knowle...