12th International Workshop on Quality in Databases at VLDB 

August 28, 2023, Vancouver, Canada

News

• QDB ’23 workshop proposal is accepted as VLDB workshop.

Quality in Databases

Data quality has been a major concern of organizations for decades. The recent advances in artificial intelligence (AI) have brought data quality (DQ) back into the spotlight: while many recent data quality and cleaning solutions are powered by ML, DQ is a core requirement to ensure reliable AI-based systems. DQ is tackled from different perspectives by different research communities, including database, machine learning (ML), and information systems. We believe it is important to bring together these communities to foster a vital discussion about the future of DQ assessment and improvement.

QDB'23 revives the successful QDB workshop series to cover the needs of the AI era, addressing both industry and academia (cf. data-centric AI). The workshop aims to (1) revive vital discussions about data quality, and (2) specifically exchange novel ideas and best practices about data quality assessment and improvement in the context of AI-based systems. 

Topics of Interest

The focus is on new and practical methods for (semi-)automated (ML-based) data quality assessment and improvement. The topics of interest include, but are not limited to:

• Data quality assessment for AI-based systems
• Data quality improvement / data cleaning for AI-based systems
• Data preprocessing and data preparation
• Benchmark data sets to evaluate DQ assurance methods
• Automation of DQ assessment and improvement methods
• ML-powered methods for improving data quality
• Data profiling for data quality measurement
• Data quality in graph-structured or time-series data
• Metadata management
• Human-in-the-loop approaches for DQ
•  Post-training quality / fact checking
• Explainable data cleaning
• Methods to scale data quality assessment and cleansing
• FAIRness in data quality

Submission deadline 
May 31, 2023, 9pm PST

Notification 
July 25, 2023

Final version
August 10, 2023

Workshop
August 28, 2023

Submission

Authors are invited to submit original, unpublished full research papers and demo descriptions that are not being considered for publication in any other forum.
Please submit your paper as a PDF using Microsoft's QDB CMT site.

Format
It is the authors' responsibility to ensure that their submissions adhere to the VLDB format detailed here. In particular, it is not allowed to modify the format with the objective of squeezing in more material. Submissions that do not comply with the formatting detailed here will be rejected without review. Note that the limit of up to 6 pages (including all figures, tables, and references) must be followed for both full papers and demos.

Publication
Accepted papers will be distributed via the CEUR workshop proceedings.

Program Chairs

Lisa Ehrlinger, Software Competence Center Hagenberg GmbH, Austria
Hazar Harmouch, Hasso Plattner Institute, University of Potsdam, Germany
Ihab Ilyas, Apple, University of Waterloo, USA
Felix Naumann, Hasso Plattner Institute, University of Potsdam, Germany 

Program Committee
Ziawasch Abedjan (Leibniz Universität Hannover)
Ismael Caballero (University of Castilla La Mancha)
Cinzia Capiello (Politecnico di Milano)
Chang Ge (U Minnesota)
Paolo Papotti (EURECOM)
Erhard Rahm (Uni Leipzig)
Sebastian Schelter (University of Amsterdam)
Wolfram Wöß (Johannes Kepler University Linz)
TBD

We are building on an established tradition of eleven previous international VLDB workshops concerning data and information quality.

In 2016, the 11th edition of the workshop took place for the last time in Delhi, India, co-located with VLDB 2016. It had a special focus on problems related to Big Data Integration and Big Data Quality. Report: https://publications.rwth-aachen.de/record/680764  

In 2012, the 10th edition of the QDB workshop took place on August 27 in Istanbul, Turkey, co-located with VLDB 2012. The focus was on data quality and data cleaning in the area of rule mining and data linking using Wikipedia. Report=https://sigmodrecord.org/publications/sigmodRecord/1212/pdfs/11.report.dong.pdf  

In 2011, the 9th edition of the QDB workshop took place on August 29 in Seattle, US, co-located with VDLB 2011. The focus was on problems of assessing, monitoring, improving, and maintaining the quality of data. 

Website: http://qdb2011.dia.uniroma3.it/index.html  

In 2010, the 8th edition of the QDB workshop (QDB10) took place on September 13, 2010, in Singapore, co-located with the 36th VLDB 2010. The focus was on data quality assessment, entity matching, and information overloading. 

Report: http://sigmod.org/publications/sigmodRecord/1112/pdfs/09.report.maurino.pdf 

Earlier version of the QDB workshop were co-located with VLDB from 2007-2009. 

CleanDB. The first International VLDB workshop on Clean Databases (CleanDB) was held in Seoul, Korea on September 11, 2006, co-located with VLDB 2006. Website: https://pike.psu.edu/cleandb06/   

From 2004-2006, a related workshop was termed IQIS and co-located with SIGMOD.