Carlo Batini is full professor of Computer Engineering since 1986, initially at Sapienza – Università di Roma, then since 2002 at University of Milano Bicocca. His research interests include eGoverment, information systems and data base modeling and design, data and information quality, and service science. From 1995 to 2003 he was a member of the board of directors of the Authority for Information Technology in Public Administration, where he headed several large scale projects for the modernization of public administration.Monica Scannapieco is a researcher at Istat, the Italian National Institute of Statistics since 2006. She earned a University Degree in Computer Engineering with honors and a Ph.D. in Computer Engineering at Sapienza - Università di Roma. She is the author of more than 100 papers mainly on data quality, privacy preservation and data integration, published in leading conferences and journals in databases and information systems. She has been involved inseveral European research projects on data quality and data integration.

“This book addresses the dimensions, principles, and techniques to ensure that data and information conform to the necessary quality requirements. … Information and communication technology (ICT) professionals who touch in any way upon data and information quality … should find this book mandatory reading. … its serious depth and breadth would seem to merit building an advanced course on data and information quality around it, so computer science students would be yet another audience.” (David G. Hill, Computing Reviews, computingreviews.com, October, 2016)

• Introduction to Information Quality.- Data Quality Dimensions.- Information Quality Dimensions for Maps and Texts.- Data Quality Issues in Linked open data.- Quality Of Images.- Models for Information Quality.- Activities for Information Quality.- Object Identification.- Recent Advances in Object Identification.- Data Quality Issues in Data Integration Systems.- Information Quality in Use.- Methodologies for Information Quality Assessment and Improvement.- Information Quality in Healthcare.- Quality of Web Data and Quality of Big Data: Open Problems.- References.- Index.

Carlo Batini is full professor of Computer Engineering since 1986, initially at Sapienza – Università di Roma, then since 2002 at University of Milano Bicocca. His research interests include eGoverment, information systems and data base modeling and design, data and information quality, and service science. From 1995 to 2003 he was a member of the board of directors of the Authority for Information Technology in Public Administration, where he headed several large scale projects for the modernization of public administration.Monica Scannapieco is a researcher at Istat, the Italian National Institute of Statistics since 2006. She earned a University Degree in Computer Engineering with honors and a Ph.D. in Computer Engineering at Sapienza - Università di Roma. She is the author of more than 100 papers mainly on data quality, privacy preservation and data integration, published in leading conferences and journals in databases and information systems. She has been involved inseveral European research projects on data quality and data integration.

“This book addresses the dimensions, principles, and techniques to ensure that data and information conform to the necessary quality requirements. … Information and communication technology (ICT) professionals who touch in any way upon data and information quality … should find this book mandatory reading. … its serious depth and breadth would seem to merit building an advanced course on data and information quality around it, so computer science students would be yet another audience.” (David G. Hill, Computing Reviews, computingreviews.com, October, 2016)

• Introduction to Information Quality.- Data Quality Dimensions.- Information Quality Dimensions for Maps and Texts.- Data Quality Issues in Linked open data.- Quality Of Images.- Models for Information Quality.- Activities for Information Quality.- Object Identification.- Recent Advances in Object Identification.- Data Quality Issues in Data Integration Systems.- Information Quality in Use.- Methodologies for Information Quality Assessment and Improvement.- Information Quality in Healthcare.- Quality of Web Data and Quality of Big Data: Open Problems.- References.- Index.