Data Quality - Concepts, Methodologies and Techniques

Preface

Motivation for the Book

Goals

Organization

Intended Audience

Guidelines for Teaching

Acknowledgements

Contents

1 Introduction to Data Quality

1.1 Why Data Quality is Relevant

1.2 Introduction to the Concept of Data Quality

1.3 Data Quality and Types of Data

1.4 Data Quality and Types of Information Systems

1.5 Main Research Issues and Application Domains in Data Quality

1.6 Summary

2 Data Quality Dimensions

2.1 Accuracy

2.2 Completeness

2.3 Time-Related Dimensions: Currency, Timeliness, and Volatility

2.4 Consistency

2.5 Other Data Quality Dimensions

2.6 Approaches to the Definition of Data Quality Dimensions

2.7 Schema Quality Dimensions

2.8 Summary

3 Models for Data Quality

3.1 Introduction

3.2 Extensions of Structured Data Models

3.3 Extensions of Semistructured Data Models

3.4 Management Information System Models

3.5 Summary

4 Activities and Techniques for Data Quality: Generalities

4.1 Data Quality Activities

4.2 Quality Composition

4.3 Error Localization and Correction

4.4 Cost and Benefit Classifications

4.5 Summary

5 Object Identification

5.1 Historical Perspective

5.2 Object Identification for Different Data Types

5.3 The High-Level Process for Object Identification

5.4 Details on the Steps for Object Identification

5.5 Object Identification Techniques

5.6 Probabilistic Techniques

5.7 Empirical Techniques

5.8 Knowledge-Based Techniques

5.9 Comparison of Techniques

5.10 Summary

6 Data Quality Issues in Data Integration Systems

6.1 Introduction

6.2 Generalities on Data Integration Systems

6.3 Techniques for Quality-Driven Query Processing

6.4 Instance-level Conflict Resolution

6.5 Inconsistencies in Data Integration: a Theoretical Perspective

6.6 Summary

7 Methodologies for Data Quality Measurement and Improvement

7.1 Basics on Data Quality Methodologies

7.2 Assessment Methodologies

7.3 Comparative Analysis of General-purpose Methodologies

7.4 The CDQM methodology

7.5 A Case Study in the e-Government Area

7.6 Summary

8 Tools for Data Quality

8.1 Introduction

8.2 Tools

8.3 Frameworks for Cooperative Information Systems

8.4 Toolboxes to Compare Tools

8.5 Summary

9 Open Problems

9.1 Dimensions and Metrics

9.2 Object Identification

9.3 Data Integration

9.4 Methodologies

9.5 Conclusions

References

Index