Highlights from SEA4DQ 2021 – the 1st International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems.


Phu Nguyen

August, 2021

Stemmed from the common research interests and international cooperation efforts, especially of the InterQ project and the Dat4.ZERO project, SEA4DQ 2021 was a successful event organized on 24 August 2021. The workshop has provided researchers and practitioners a forum for exchanging ideas, experiences, understanding of the problems, visions for the future, and promising solutions to the problems in data quality in Cyber-Physical Systems, especially for Zero-Defect Manufacturing. SEA4DQ 2021 attracted 35 international participants and was exciting with a great keynote, six excellent presentations, and concluded on a high node with a panel discussion!

Phu Nguyen and Sagar Sen from SINTEF (Norway) opened the workshop that focuses on How can software engineering and artificial intelligence (AI) help manage and tame data quality issues in CPS? In his keynote, Per Myrseth from DNV (Norway) emphasized on the importance of Data Quality Focus as a Competitive Advantage, based on his great experience for Data Management, Data Science and Assurance of Digital Assets. Indeed, the recommended practice by DNV for Data quality assessment framework was mentioned in the next talk about the Development of Data Quality Management System for Ship IoT Data – Perspective of Ship Owner and Operator by Putu Hangga and Shogo Yamada from the Maritime Technology Group, NYK Remote Diagnostic Center, Japan.

Next, Frank Westad and Torbjørn Pedersen from Idletechs (Norway) shared their experience for Representative Sampling, which is an important basis for acquiring high quality data. Then, Phu Nguyen, Arda Goknil, Karl John Pedersen, and Dimitra Politaki represented a group of the authors from the InterQ project to present their systematic assessment on the state of the art of data quality. Their presentation entitled the Preliminary Results of A Systematic Review of Data Quality for CPS, IoT, or Industry 4.0 Applications. The morning session was concluded with a talk by Dimitra Politaki from Inlecom Systems (Greece) on how to combine AI models for Anomaly Detection in Manufacturing Time Series Data.

The afternoon session started with an inspiring talk entitled “Injection molding supervision and plastic part quality assurance” by Ronan Le Goff from IPC – Centre Technique Industriel de la Plasturgie et des Composites (France). Ronan presented how their data science approach has allowed replacing an expensive sensor system with a different and much less expensive one that can do the same job for quality assessment in their manufacturing process. Last but not least, Sonia Jimenez from the International Data Spaces Association (IDSA, Germany) presented how the International Data Spaces´ approach for secure and trusted data sharing contributes to ensuring data quality. This talk shows a great vision of data sharing with high quality and how it has been realized with the IDSA’s reference architecture model.    

We concluded the workshop on a high node with a panel discussion. All the panellists and the participants actively discussed the current challenges and the visions for the future of data quality based on exciting questions given by the moderators Sagar Sen and Frank Westad.

Many thanks to all the contributors, especially the organizers from SINTEF (Norway), Tekniker (Spain), DNV (Norway), and TU Darmstadt (Germany).

Let’s look forward to SEA4DQ 2022!