Data and Information Quality Dimensions, Principles and Techniques
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 futu
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Carlo Batini Monica Scannapieco
Data and Information Quality Dimensions, Principles and Techniques
Data-Centric Systems and Applications
Series editors M.J. Carey S. Ceri
Editorial Board A. Ailamaki S. Babu P. Bernstein J.C. Freytag A. Halevy J. Han D. Kossmann I. Manolescu G. Weikum K.-Y. Whang J.X. Yu
More information about this series at http://www.springer.com/series/5258
Carlo Batini • Monica Scannapieco
Data and Information Quality Dimensions, Principles and Techniques
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Carlo Batini UniversitJa degli Studi di Milano-Biccoca Milan, Italy
Monica Scannapieco UniversitJa degli Studi di Roma ‘La Sapienza’ Rome, Italy
ISSN 2197-9723 ISSN 2197-974X (electronic) Data-Centric Systems and Applications ISBN 978-3-319-24104-3 ISBN 978-3-319-24106-7 (eBook) DOI 10.1007/978-3-319-24106-7 Library of Congress Control Number: 2016933451 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
To my father Curzio Batini Carlo To Giulio, Valerio and Massimo and to my enriched “Ernania” world Monica
Preface
Motivation for the Book This book is the result of a study path that started in 2006, when the two authors of this book published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years, Data and Information Quality is a book that adds significantly new contents to the previous one. In this preface, we recall the motivations for the first book and the evolution of research and application issues that led us to move from the data quality (DQ) concept to the information quality (IQ) one.
Motivation for Data Quality Electronic data play a crucial role in the information and communication technology (ICT) society: they are managed by business and governmental applications and are fundamental in all relationships between governments, businesses, and
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