Big data quality management is in demand to decrease the harm of data quality problems andcomputes high-quality problem from big data. Big data quality management has become one of the hottest issues not only in database community but also in artificial intelligence, data miningand other related area. The goal of this workshop is to raise the awareness of quality issues in bigdata and promote approaches to evaluate and improve big data quality.

BDQM 2024 will be one of the workshops of the 29th International Conference on Database Systems for Advanced Applications (DASFAA). DASFAA provides a leading international forum for discussing the latest research on database systems and advanced applications, and it will be held from 02 July 2024 in Gifu, Japan. The conference website is: https://www.dasfaa2024.org/.

The workshop topics include, but are not limited to:

Data Quality Models and Theory

Data Quality Measures and Evaluations

Data Cleaning Algorithms

Record Linkage and Entity Resolution

Privacy Preservation and Security Issues in the Process of Data Cleaning

Data Quality Policies and Standards

Data Provenance and Annotation

Data Quality in Information Retrieval and Extraction

Probabilistic, Fuzzy, and Uncertain Data Management

Data Quality in Sensor Networks and CPS

Data Quality in Information Integration

Crowdsourcing for Data Quality

Master Data Management

Applications for Data Quality Management

Error-Tolerate Computation