Data Quality
Author(s) -
Richard Y. Wang,
Mostapha Ziad,
Yang W. Lee
Publication year - 2002
Publication title -
kluwer academic publishers ebooks
Language(s) - English
Resource type - Book series
DOI - 10.1007/b116303
Subject(s) - data quality , quality (philosophy) , computer science , research data , data science , engineering , operations management , data curation , physics , metric (unit) , quantum mechanics
Data Quality provides an expos of research and practice in the data quality field for technically oriented readers. It is based on the research conducted at the MIT Total Data Quality Management (TDQM) program and work from other leading research institutions. This book is intended primarily for researchers, practitioners, educators and graduate students in the fields of Computer Science, Information Technology, and other interdisciplinary areas. It forms a theoretical foundation that is both rigorous and relevant for dealing with advanced issues related to data quality. Written with the goal to provide an overview of the cumulated research results from the MIT TDQM research perspective as it relates to database research, this book is an excellent introduction to Ph.D. who wish to further pursue their research in the data quality area. It is also an excellent theoretical introduction to IT professionals who wish to gain insight into theoretical results in the technically-oriented data quality area, and apply some of the key concepts to their practice.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom