Data quality (Q2718872)

Data quality is based on the MIT total data quality management program, a program that has been under way for a number of years. The book contains nine chapters, six of which deal with the MIT program plus a chapter on the European Union data warehouse quality project and a chapter on the Purdue University data quality project. Chapters pertaining to the MIT TDQM program are titled Introduction, Extending the relational model to capture data quality attributes, Extending the ER model to represent data quality requirements, Automating data quality judgment, Developing a data quality algebra, and The MIT context interchange project. The final chapter cites additional research and looks the future.NEWLINENEWLINENEWLINEEach chapter contains a sizeable list of references and the bibliography at the end of the book contains over 200 entries. The material presented in the book and the extensive set of references should make the book a prime source for those interested in research in the field of data quality management.NEWLINENEWLINENEWLINEAlthough Wang, Ziad and Lee are not classified as editors of the book, they indicate that chapters are taken from papers written by them plus others. Chapter 5 titled Developing a data quality algebra exhibits problems in incorporating material from another paper into this book where references to ``shaded tables'' and equation numbers are missing. Also the print on some graphics became unreadable when placed into book format. It is interesting that in a book on data quality, an example on computing ``inaccuracy'' estimates gives results to five and six places to the right of the decimal even though the input data to the relation was given to only four places.