© 2014

The Philosophy of Information Quality

  • Luciano Floridi
  • Phyllis Illari

Part of the Synthese Library book series (SYLI, volume 358)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Luciano Floridi, Phyllis Illari
    Pages 1-3
  3. Phyllis Illari, Luciano Floridi
    Pages 5-23
  4. Carlo Batini, Matteo Palmonari, Gianluigi Viscusi
    Pages 43-73
  5. Min Chen, Luciano Floridi, Rita Borgo
    Pages 75-93
  6. Monica Scannapieco
    Pages 95-106
  7. Don Fallis
    Pages 135-161
  8. Jacob Stegenga
    Pages 163-182
  9. Pietro Ghezzi, Sundeep Chumber, Tara Brabazon
    Pages 183-199
  10. Kieron O’Hara
    Pages 201-215
  11. Phyllis Illari
    Pages 281-301
  12. Luciano Floridi
    Pages 303-315

About this book


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.


Data quality, government data and open data inforsphere algorithmic check standards for information quality standards challenges for record linkage data and philosophy information and information quality information quality and quality view patterns information quality in medical research quality assessment in medicine quality of open data what is disinformation

Editors and affiliations

  • Luciano Floridi
    • 1
  • Phyllis Illari
    • 2
  1. 1.Oxford Internet InstituteUniversity of OxfordOxfordUnited Kingdom
  2. 2.Department of Science and Technology StudiesUniversity College LondonLondonUnited Kingdom

Bibliographic information