Carlo Batini

Monica Scannapieco

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliament. Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book's extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems. This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone – researchers, students, or professionals – interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic.

Concepts, Methodologies and Techniques

Data Quality

Gianluigi Viscusi

Massimo Mecella

Written from a data-centric perspective, Information Systems for eGovernment presents a methodology that is grounded in computer science, but leveraged by sociological, organizational, economical, juridical analyses and methods. Examples and case studies are included, which illustrate the relevance of the approach.

A Quality-of-Service Perspective

Information Systems for eGovernment

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.

Dimensions, Principles and Techniques

Data and Information Quality

Paolo Giorgini

Fausto Giunchiglia

This book constitutes the refereed proceedings of the 8th International Conference on Cooperative Information Systems, CoopIS 2001, held in Trento, Italy in September 2001. The 29 revised full papers presented together with three invited contributions were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on agent and systems; information integration; middleware, platforms, and architectures; models; multi and federated database systems; Web information systems; workflow management systems; and recommendation and information seeking systems.

9th International Conference, CoopIS 2001, Trento, Italy, September 5-7, 2001. Proceedings

Cooperative Information Systems

Stefano Ceri

Sham Navathe

This database design book provides the reader with a unique methodology for the conceptual and logical design of databases. A step-by-step method is given for developing a conceptual structure for large databases with multiple users. Additionally, the authors provide an up-to-date survey and analysis of existing database design tools.

An Entity-relationship Approach

Conceptual Database Design

Federico Cabitza

Massimo Magni

This book argues that “organizing” is a broader term than managing, as it entails understanding how people and machines interact with each other; how resources, data, goods are exchanged in complex and intertwined value chains; and how lines of action and activities can be articulated using flexible protocols and often ad-hoc processes in situated practices of use and production. The book presents a collection of research papers shedding new light on these phenomena and related practices from both academic and professional perspectives. Given the plurality of views that it offers, the book makes a relevant contribution to the understanding and appreciation of the complexity of the digital world at various levels of granularity. It focuses on how individuals, communities and the coopetitive societies of our new, global and hyperconnected world produce value and pursue their objectives and ideals in mutually dependent ways. The content of the book is based on a selection of the best papers - original double-blind peer-reviewed contributions - presented at the annual conference of the Italian chapter of the AIS, which was held in Milan, Italy in October 2017.

Carlo Batini

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