Overview

This work fulfills the need for a conceptual and technical framework to improve understanding of Information Quality (IQ) and Information Quality standards. The meaning and practical implementation of IQ are addressed, as it is relevant to any field where there is a need to handle data and issues such as accessibility, accuracy, completeness, currency, integrity, reliability, timeliness, usability, the role of metrics and so forth are all a part of Information Quality. In order to support the cross-fertilization of theory and practice, the latest research is presented in this book. The perspectives of experts from beyond the origins of IQ in computer science are included: library and information science practitioners and academics, philosophers of information, of engineering and technology, and of science are all contributors to this volume. The chapters in this volume are based on the work of a collaborative research project involving the Arts and Humanities Research Council and Google and led by Professor Luciano Floridi, University of Oxford. This work will be of interest to anyone handling data, including those from commercial, public, governmental and academic organizations. The expert editors’ contributions introduce issues of interest to scientists, database curators and philosophers, even though the issues may be disguised in the language and examples common to a different discipline.

Full Product Details

Author:   Luciano Floridi ,  Phyllis Illari
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2014
Volume:   358
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.498kg
ISBN:  

9783319378244

ISBN 10:   3319378244
Pages:   315
Publication Date:   10 September 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Preface.- Luciano Floridi and Phyllis Illari.- Information quality, data and philosophy; Phyllis Illari and Luciano Floridi.- Forget Dimensions. Define Your Information Quality Using Quality View Patterns; Suzanne M. Embury and Paolo Missier.- Exploring information quality in the wild; Carlo Batini, Matteo Palmonari, Gianluigi Viscusi.- What is visualization really for?; Min Chen, Luciano Floridi, Rita Borgo.- Object Matching: New Challenges for Record Linkage; Monica Scannapieco.- Algorithmic check of standards for information quality dimensions; Giuseppe Primiero.- What is disinformation?; Don Fallis.- Quality Assessment Tools in medicine; Jacob Stegenga.- Educating Medical Students to Evaluate the Quality of Health Information on the Web; Pietro Ghezzi, Sundeep Chumbers, Tara Brabazon.- Enhancing the quality of open data; Kieron O'Hara.- Forensic Information Quality; Burkhard Schafer.- Information quality and personal archives in the wild; Jeremy Leighton John.- IQ: purpose and dimensions; Phyllis Illari.- Big data and information quality; Luciano Floridi.

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