IAwDQ 2012 - Third Ibero-American Workshop on Data Quality (IAwDQ'2012)

Third Ibero-American Workshop on Data Quality (IAwDQ'2012)
Context
Electronic data plays a crucial role in the information and communication technology society, given that it links all relationships between governments, businesses, and citizens. As electronic data is widely diffused, the quality of data, and its related effects on every kind of activity in the information and communication society, is more and more critical. The consequences of poor quality of data are often experienced in everyday life, but often without making the necessary connections to their causes. As an example, the duplicate delivery of automatically generated mail is frequently indicative of a database record duplication error. Actually, the problem of poor data quality is widespread in the governmental, commercial and industrial databases. This reality cannot be ignored anymore. It is urgently needed the proposal and validation of theoretical as well as pragmatic approaches for solving all data quality issues. As a consequence, data quality is now one of the hot topics in the academic and industrial communities.
Data quality is more than simply data accuracy or correctness. Data quality also includes other significant dimensions, such as completeness, consistency, currency, interpretability, and many others, depending on the context where data is used and also on the data consumers. All these dimensions are necessary in order to fully characterize the quality of data. Obtaining and maintaining data of high quality is not an easy task. Despite this complexity, data quality has a central role on the competitiveness of organizations, which means that we have to face and solve the data quality problems.
The main goal of this workshop is to bring together researchers and practitioners, who are dealing with data quality issues, providing the opportunity to promote, present and discuss ongoing work in this area. This workshop can also provide a forum to present latest research results, new technology developments and new applications in the area of data quality.
Topics of interest
Topics include but are not limited to:
- Data Quality Assessment
- Prevention of Data Quality Problems
- Data Cleaning
- Data Transformation
- Metadata Quality Problems
- Detection of Outliers
- Cost of Data Quality
- Data Quality in Specific Domains
- Data Quality in Software Development
- Data Quality Monitoring Tools
- Standards for Data Quality
- Data Profiling
- Implications of Data Quality Problems
- Data Quality Metrics/Measures
- Data Quality and Accountability
- Master Data Management
- Data Enrichment
- Relationship between Data Quality and Security
- Models and Methodologies for Data Quality
- Metadata Management
- Data Governance